Latest Quantum Computing Papers

Summary

In quantum physics the order in which different operations occur can be placed in superposition.

Abstract

In quantum physics the order in which different operations occur can be placed in superposition. The resulting processes have an indefinite causal order and are both of fundamental interest and can be viewed as a novel quantum resource that enables a variety of new protocols. Here we report an experimental implementation of one such protocol, where we perform BB84-like quantum cryptography by plac...

Research context

What it does: In quantum physics the order in which different operations occur can be placed in superposition. Why it matters: The work is relevant to high-control trapped-ion quantum computing platforms. The work is relevant to optical quantum information processing.

Summary

To achieve large-scale fault-tolerant quantum computation, it may be easier to combine many small sets of qubits than to construct a single large set.

Abstract

To achieve large-scale fault-tolerant quantum computation, it may be easier to combine many small sets of qubits than to construct a single large set. For example via quantum error correction with block codes, or distributed quantum processors utilizing shared entanglement. In these regimes, the time or error budget of the overall quantum computation may be dominated by non-local operations. Hence...

Research context

What it does: To achieve large-scale fault-tolerant quantum computation, it may be easier to combine many small sets of qubits than to construct a single large set. Why it matters: The work is relevant to high-control trapped-ion quantum computing platforms. It is relevant to reliable logical qubits and improved quantum reliability.

Summary

Existing quantum algorithms for simulating dynamical systems -- from Hamiltonian simulation to linear and nonlinear differential equations solvers -- simulate Markovian dynamics, in which the system's future evolution de...

Abstract

Existing quantum algorithms for simulating dynamical systems -- from Hamiltonian simulation to linear and nonlinear differential equations solvers -- simulate Markovian dynamics, in which the system's future evolution depends solely on its current state. We turn our attention to developing quantum algorithms for non-Markovian dynamical systems where the system's future evolution depends on its pas...

Research context

What it does: Existing quantum algorithms for simulating dynamical systems -- from Hamiltonian simulation to linear and nonlinear differential equations solvers -- simulate Markovian dynamics, in which the system's future evolution de... Why it matters: The work is relevant to high-control trapped-ion quantum computing platforms. It is relevant to computational applications of quantum devices. It is relevant to simulating quantum many-body systems.

Summary

The spin of a quasiparticle trapped in a quantum dot Josephson junction forms the basis of an Andreev spin qubit (ASQ): a semiconductor-superconductor device where the interplay between a localized spin degree of freedom...

Abstract

The spin of a quasiparticle trapped in a quantum dot Josephson junction forms the basis of an Andreev spin qubit (ASQ): a semiconductor-superconductor device where the interplay between a localized spin degree of freedom and superconductivity leads to a spin-resolved Josephson potential. In this work, we show that shunting an ASQ with a linear inductor enhances its relaxation time by separating th...

Research context

What it does: The spin of a quasiparticle trapped in a quantum dot Josephson junction forms the basis of an Andreev spin qubit (ASQ): a semiconductor-superconductor device where the interplay between a localized spin degree of freedom... Why it matters: The work is relevant to circuit-based quantum processors. The work is relevant to scalable solid-state qubit platforms.

Summary

Unitary designs provide finite-moment approximations to Haar-random unitaries, with wide-ranging applications across physics and quantum information, from scrambling and black-hole dynamics to foundational primitives in...

Abstract

Unitary designs provide finite-moment approximations to Haar-random unitaries, with wide-ranging applications across physics and quantum information, from scrambling and black-hole dynamics to foundational primitives in quantum algorithms. Strong unitary designs capture a more demanding operational notion of approximation, requiring indistinguishability from Haar randomness even for quantum algori...

Research context

What it does: Unitary designs provide finite-moment approximations to Haar-random unitaries, with wide-ranging applications across physics and quantum information, from scrambling and black-hole dynamics to foundational primitives in... Why it matters: The work is relevant to high-control trapped-ion quantum computing platforms. It is relevant to computational applications of quantum devices.

Summary

Magic plays a dual role in quantum computation: it promotes stabilizer dynamics from efficient classical simulability to universality, but it presents a central challenge for fault tolerance, since non-stabilizer operati...

Abstract

Magic plays a dual role in quantum computation: it promotes stabilizer dynamics from efficient classical simulability to universality, but it presents a central challenge for fault tolerance, since non-stabilizer operations are harder to protect against noise. Magic state distillation addresses this issue; however, existing protocols typically assume prior structure in the input, such as proximity...

Research context

What it does: Magic plays a dual role in quantum computation: it promotes stabilizer dynamics from efficient classical simulability to universality, but it presents a central challenge for fault tolerance, since non-stabilizer operati... Why it matters: The work is relevant to high-control trapped-ion quantum computing platforms.

Summary

Discrete-time quantum walks provide a versatile framework for investigating the generation, redistribution, and transport of quantum correlations in composite quantum systems.

Abstract

Discrete-time quantum walks provide a versatile framework for investigating the generation, redistribution, and transport of quantum correlations in composite quantum systems. Here, we study the dynamics of bipartite and genuine multipartite entanglement in a two-walker discrete-time quantum walk on a one-dimensional lattice. By employing logarithmic negativity and the generalized geometric measur...

Research context

What it does: Discrete-time quantum walks provide a versatile framework for investigating the generation, redistribution, and transport of quantum correlations in composite quantum systems. Why it matters: The work is relevant to high-control trapped-ion quantum computing platforms. It is relevant to simulating quantum many-body systems.

Summary

Aggregating logical quantum information encoded in continuous-variable phase space is essential for distributed quantum computing.

Abstract

Aggregating logical quantum information encoded in continuous-variable phase space is essential for distributed quantum computing. However, passive linear optics fail for non-Gaussian Gottesman-Kitaev-Preskill (GKP) codes due to symplectic lattice compression and entanglement-induced decoherence. We present an active, measurement-based framework for the homomorphic aggregation of multi-node GKP st...

Research context

What it does: Aggregating logical quantum information encoded in continuous-variable phase space is essential for distributed quantum computing. Why it matters: The work is relevant to high-control trapped-ion quantum computing platforms. The work is relevant to optical quantum information processing.

Summary

High-precision phase measurement of microwave fields underpins a wide range of applications, including wireless communications, distributed radar, plasma diagnostics, and antenna metrology.

Abstract

High-precision phase measurement of microwave fields underpins a wide range of applications, including wireless communications, distributed radar, plasma diagnostics, and antenna metrology. Existing Rydberg-atom-based approaches, however, often face trade-offs among phase resolution, measurement range, and system complexity. Here we demonstrate a Rydberg-atom-based microwave Mach-Zehnder-type inte...

Research context

What it does: High-precision phase measurement of microwave fields underpins a wide range of applications, including wireless communications, distributed radar, plasma diagnostics, and antenna metrology. Why it matters: The work is relevant to high-control trapped-ion quantum computing platforms. The work is relevant to atom-array quantum computing and quantum simulation.

Summary

We present an ion-trap platform on borosilicate glass with an integrated femtosecond-laser-written waveguide for on-chip light delivery.

Abstract

We present an ion-trap platform on borosilicate glass with an integrated femtosecond-laser-written waveguide for on-chip light delivery. The optical layer is physically separated from the electrode substrate and bonded atop the trap, remaining compatible with silicon-based integration. We engineer single-mode low-loss guidance at 729 nm with tunable mode-field diameter and achieve low-loss curved...

Research context

What it does: We present an ion-trap platform on borosilicate glass with an integrated femtosecond-laser-written waveguide for on-chip light delivery. Why it matters: The work is relevant to high-control trapped-ion quantum computing platforms.

Summary

The trapped-ion optical-metastable-ground ($\textit{omg}$) architecture for quantum processors promises the full functionality of two-species experiments, including sympathetic cooling and non-destructive ancilla readout...

Abstract

The trapped-ion optical-metastable-ground ($\textit{omg}$) architecture for quantum processors promises the full functionality of two-species experiments, including sympathetic cooling and non-destructive ancilla readout, without the corresponding hardware overhead. We confirm that we can cool a global motional mode of a mixed metastable-ground state Coulomb crystal to the motional ground state vi...

Research context

What it does: The trapped-ion optical-metastable-ground ($\textit{omg}$) architecture for quantum processors promises the full functionality of two-species experiments, including sympathetic cooling and non-destructive ancilla readout... Why it matters: The work is relevant to high-control trapped-ion quantum computing platforms. It is relevant to reliable logical qubits and improved quantum reliability.

Summary

Determining whether a target unitary can be implemented within a prescribed quantum circuit architecture is a fundamental problem in quantum information, with direct implications for optimisation and compilation of quant...

Abstract

Determining whether a target unitary can be implemented within a prescribed quantum circuit architecture is a fundamental problem in quantum information, with direct implications for optimisation and compilation of quantum circuits, and hardware-efficient quantum computation. While existing synthesis and compilation methods are primarily constructive, they generally do not provide rigorous certifi...

Research context

What it does: Determining whether a target unitary can be implemented within a prescribed quantum circuit architecture is a fundamental problem in quantum information, with direct implications for optimisation and compilation of quant... Why it matters: The work is relevant to high-control trapped-ion quantum computing platforms.

Summary

We propose a controlled-Z gate scheme for Rydberg atoms based on level-crossing-free echoing rapid adiabatic population transfer.

Abstract

We propose a controlled-Z gate scheme for Rydberg atoms based on level-crossing-free echoing rapid adiabatic population transfer. We design antisymmetric Rabi frequency pulses and symmetric detuning pulses, enabling the system to completely avoid level-crossing points throughout the evolution, and the dynamical phase is naturally eliminated by the time-reversal symmetry of the double-pulse sequenc...

Research context

What it does: We propose a controlled-Z gate scheme for Rydberg atoms based on level-crossing-free echoing rapid adiabatic population transfer. Why it matters: The work is relevant to high-control trapped-ion quantum computing platforms. The work is relevant to atom-array quantum computing and quantum simulation.

Summary

From fluid flow and transport to collective dynamics, numerical simulation of nonlinear partial differential equations underpins modern scientific computing.

Abstract

From fluid flow and transport to collective dynamics, numerical simulation of nonlinear partial differential equations underpins modern scientific computing. Extending this capability to quantum computers remains a longstanding challenge because nonlinear and non-Hermitian evolution is fundamentally incompatible with conventional Hamiltonian-based quantum simulation. Here we experimentally realize...

Research context

What it does: From fluid flow and transport to collective dynamics, numerical simulation of nonlinear partial differential equations underpins modern scientific computing. Why it matters: The work is relevant to high-control trapped-ion quantum computing platforms. It is relevant to computational applications of quantum devices. It is relevant to simulating quantum many-body systems.

Summary

Complete sets of graphical rewrite rules enable fully graphical reasoning about quantum computations and have been an area of active research for more than a decade.

Abstract

Complete sets of graphical rewrite rules enable fully graphical reasoning about quantum computations and have been an area of active research for more than a decade. Many recent applications of the ZX-calculus have made use of the close correspondence between ZX-diagrams and computations in the one-way model of measurement-based quantum computation. In this model, various kinds of flow properties...

Research context

What it does: Complete sets of graphical rewrite rules enable fully graphical reasoning about quantum computations and have been an area of active research for more than a decade. Why it matters: The work is relevant to high-control trapped-ion quantum computing platforms.

Summary

Rydberg atom arrays natively encode the maximum-weight independent set (MWIS) problem through the blockade mechanism, so the Boolean circuit satisfiability problem (Circuit-SAT) can be brought onto the platform once it i...

Abstract

Rydberg atom arrays natively encode the maximum-weight independent set (MWIS) problem through the blockade mechanism, so the Boolean circuit satisfiability problem (Circuit-SAT) can be brought onto the platform once it is reduced to MWIS. The conventional encoding of Circuit-SAT in the Rydberg atom array proceeds through conjunctive normal form (CNF) and incurs a substantial atom overhead. We intr...

Research context

What it does: Rydberg atom arrays natively encode the maximum-weight independent set (MWIS) problem through the blockade mechanism, so the Boolean circuit satisfiability problem (Circuit-SAT) can be brought onto the platform once it i... Why it matters: The work is relevant to high-control trapped-ion quantum computing platforms. The work is relevant to atom-array quantum computing and quantum simulation.

Summary

As quantum computing progresses from proof-of-principle demonstrations toward practical utility, a significant impediment is the need to augment algorithmic feasibility with system-level optimization across heterogeneous...

Abstract

As quantum computing progresses from proof-of-principle demonstrations toward practical utility, a significant impediment is the need to augment algorithmic feasibility with system-level optimization across heterogeneous hardware and software stacks. Quantum resource estimation (QRE) plays a central role in this transition, yet existing approaches remain largely compilation-heavy or domain-knowled...

Research context

What it does: As quantum computing progresses from proof-of-principle demonstrations toward practical utility, a significant impediment is the need to augment algorithmic feasibility with system-level optimization across heterogeneous... Why it matters: The work is relevant to high-control trapped-ion quantum computing platforms. It is relevant to reliable logical qubits and improved quantum reliability. It is relevant to computational applications of quantum devices.

Summary

Scientific simulations demand methods combining scalability with predictive accuracy.

Abstract

Scientific simulations demand methods combining scalability with predictive accuracy. Density Functional Theory (DFT) on High-Performance Computing (HPC) enables large-scale electronic-structure simulations but is limited by approximations affecting strongly correlated systems and band-gap predictions. Quantum computing offers a pathway to address this, though current Noisy Intermediate-Scale Quan...

Research context

What it does: Scientific simulations demand methods combining scalability with predictive accuracy. Why it matters: The work is relevant to high-control trapped-ion quantum computing platforms. It is relevant to computational applications of quantum devices. It is relevant to simulating quantum many-body systems.

Summary

Whether neutral-atom quantum optimization protocols exhibit genuine concentration toward low-energy solution structure remains an open question.

Abstract

Whether neutral-atom quantum optimization protocols exhibit genuine concentration toward low-energy solution structure remains an open question. Here, we introduce a shots-to-approximate-solution metric, STS(r), where r denotes the approximation ratio, and evaluate it using postprocessed outputs modeled by a degeneracy-weighted shell distribution governed by a single effective parameter, $β$, that...

Research context

What it does: Whether neutral-atom quantum optimization protocols exhibit genuine concentration toward low-energy solution structure remains an open question. Why it matters: The work is relevant to atom-array quantum computing and quantum simulation.

Summary

Quantum subspace diagonalization methods are promising algorithms for quantum chemistry on near-term quantum computers.

Abstract

Quantum subspace diagonalization methods are promising algorithms for quantum chemistry on near-term quantum computers. These methods can estimate low-lying energies of molecular systems using shallow quantum circuits, at the cost of many circuit repetitions to estimate the projected matrix elements. Errors in these matrix elements can be converted into much larger eigenvalue errors by an ill-cond...

Research context

What it does: Quantum subspace diagonalization methods are promising algorithms for quantum chemistry on near-term quantum computers. Why it matters: The work is relevant to high-control trapped-ion quantum computing platforms.

Summary

Growing integration of distributed energy resources increases power-system variability and uncertainty.

Abstract

Growing integration of distributed energy resources increases power-system variability and uncertainty. During disturbances, these effects can intensify generation-load imbalances and cascading failures. Controlled islanding limits their propagation by partitioning a compromised grid into connected, electrically sustainable islands. However, classical methods face rapidly growing computational cos...

Research context

What it does: Growing integration of distributed energy resources increases power-system variability and uncertainty. Why it matters: The work is relevant to high-control trapped-ion quantum computing platforms. It is relevant to computational applications of quantum devices.

Summary

The number of non-Clifford gates needed to perform a task, or simply \textit{magic}, is a resource for fault-tolerant quantum computation.

Abstract

The number of non-Clifford gates needed to perform a task, or simply \textit{magic}, is a resource for fault-tolerant quantum computation. Von Neumann algebras provide a formal mathematical structure to describe infinite-dimensional quantum systems, such as those in quantum field theory or quantum statistical mechanics. A particularly important class of von Neumann algebras is called Type III alge...

Research context

What it does: The number of non-Clifford gates needed to perform a task, or simply \textit{magic}, is a resource for fault-tolerant quantum computation. Why it matters: The work is relevant to high-control trapped-ion quantum computing platforms. It is relevant to simulating quantum many-body systems.

Summary

Nanomechanical structures have been investigated as a method of achieving long-lived quantum excitations at radio frequencies.

Abstract

Nanomechanical structures have been investigated as a method of achieving long-lived quantum excitations at radio frequencies. Their high quality factors are especially intriguing as a medium for bosonic encoding of quantum information. However, to leading order, mechanical modes typically lack the nonlinearities necessary to achieve interaction between bosonic channels and thus are limited in the...

Research context

What it does: Nanomechanical structures have been investigated as a method of achieving long-lived quantum excitations at radio frequencies. Why it matters: The work is relevant to high-control trapped-ion quantum computing platforms. The work is relevant to scalable solid-state qubit platforms. It is relevant to reliable logical qubits and improved quantum reliability.

Summary

We introduce a framework to classify quantum phases, phase transitions, and non-equilibrium dynamics of interfaces separating ordered bulk domains in 2D quantum magnets - equivalently, confining strings in dual lattice g...

Abstract

We introduce a framework to classify quantum phases, phase transitions, and non-equilibrium dynamics of interfaces separating ordered bulk domains in 2D quantum magnets - equivalently, confining strings in dual lattice gauge theories - based on effective 1D Hamiltonians governing geometric fluctuations. Building on a "holographic" approach from [Phys. Rev. Lett. 129, 120601 (2022)], here reinterpr...

Research context

What it does: We introduce a framework to classify quantum phases, phase transitions, and non-equilibrium dynamics of interfaces separating ordered bulk domains in 2D quantum magnets - equivalently, confining strings in dual lattice g... Why it matters: The work is relevant to high-control trapped-ion quantum computing platforms. The work is relevant to atom-array quantum computing and quantum simulation. It is relevant to simulating quantum many-body systems. It is relevant to understanding correlations and collective quantum behavior.

Summary

Leakage beyond the computational subspace is a major source of error in multilevel quantum hardware.

Abstract

Leakage beyond the computational subspace is a major source of error in multilevel quantum hardware. We show that any \( [[n,k,d]] \) stabilizer code can be embedded isometrically into a single \(D\)-dimensional system while preserving its complete error-correcting structure. We further derive a necessary and sufficient condition for exact leakage correction, proving that leakage is correctable pr...

Research context

What it does: Leakage beyond the computational subspace is a major source of error in multilevel quantum hardware. Why it matters: It is relevant to reliable logical qubits and improved quantum reliability.

Summary

Quantum simulation is expected to be a main application of quantum computers with realistic utility in quantum chemistry, materials science and beyond.

Abstract

Quantum simulation is expected to be a main application of quantum computers with realistic utility in quantum chemistry, materials science and beyond. However, preparing excited or general eigenstates is a central challenge, particularly when the desired eigenvalue is not known in advance, or when the overlap with the initial state is insufficient. We introduce the Dominant Eigenstate Filtering v...

Research context

What it does: Quantum simulation is expected to be a main application of quantum computers with realistic utility in quantum chemistry, materials science and beyond. Why it matters: The work is relevant to high-control trapped-ion quantum computing platforms. It is relevant to computational applications of quantum devices. It is relevant to simulating quantum many-body systems.

Summary

The convergence of AI and quantum computing requires a new approach to cybersecurity.

Abstract

The convergence of AI and quantum computing requires a new approach to cybersecurity. Credible experts estimate that by 2030 a cryptographically relevant quantum computer will be capable of breaking the encryption that underpins all of our digital communication. One of the most disruptive technology in history is coming and it's expected to change everything. In this context academic institutions...

Research context

What it does: The convergence of AI and quantum computing requires a new approach to cybersecurity. Why it matters: The work is relevant to high-control trapped-ion quantum computing platforms.

Summary

Low-entropy arrays of atomic quantum systems in optical tweezers offer unique prospects for fundamental research on few- and many-body systems as well as for extended applications in quantum technology.

Abstract

Low-entropy arrays of atomic quantum systems in optical tweezers offer unique prospects for fundamental research on few- and many-body systems as well as for extended applications in quantum technology. The significance of this approach relies on the achievable system size, its uniformity, and the rate of qubit allocation. We propel the neutral-atom quantum-technology platform by the rapid assembl...

Research context

What it does: Low-entropy arrays of atomic quantum systems in optical tweezers offer unique prospects for fundamental research on few- and many-body systems as well as for extended applications in quantum technology. Why it matters: The work is relevant to high-control trapped-ion quantum computing platforms. The work is relevant to atom-array quantum computing and quantum simulation. It is relevant to understanding correlations and collective quantum behavior.

Summary

Continuous-variable (CV) quantum states are naturally characterized by their moments, defined as expectation values of products of single- or multimode ladder operators.

Abstract

Continuous-variable (CV) quantum states are naturally characterized by their moments, defined as expectation values of products of single- or multimode ladder operators. Many CV Hamiltonians and quantum algorithms are formulated directly in terms of these moments, and therefore an efficient procedure to estimate moments with limited state measurements is necessary. In this paper, we present a prot...

Research context

What it does: Continuous-variable (CV) quantum states are naturally characterized by their moments, defined as expectation values of products of single- or multimode ladder operators. Why it matters: The work is relevant to high-control trapped-ion quantum computing platforms. The work is relevant to optical quantum information processing. It is relevant to computational applications of quantum devices.

Summary

Effective implementation of high-level quantum gates is essential for practical quantum computing.

Abstract

Effective implementation of high-level quantum gates is essential for practical quantum computing. To the best of our knowledge, we present the first reported 12-CNOT decomposition of the double qubit excitation operator, improving upon state-of-the-art (SOTA) implementations with 13 CNOTs. Our new circuit has the lowest CNOT count (12), lowest CNOT depth (10), and lowest total circuit depth (16)...

Research context

What it does: Effective implementation of high-level quantum gates is essential for practical quantum computing. Why it matters: The work is relevant to high-control trapped-ion quantum computing platforms.

Summary

Transversal CNOT (TCNOT) gates can accelerate fault-tolerant quantum computation (FTQC) in the surface code by reducing the number of syndrome extraction rounds required between logical operations from $O(d)$ to $O(1)$.

Abstract

Transversal CNOT (TCNOT) gates can accelerate fault-tolerant quantum computation (FTQC) in the surface code by reducing the number of syndrome extraction rounds required between logical operations from $O(d)$ to $O(1)$. This is particularly attractive for quantum platforms with long-range connectivity, such as neutral atoms. However, dense TCNOT schedules substantially increase the classical decod...

Research context

What it does: Transversal CNOT (TCNOT) gates can accelerate fault-tolerant quantum computation (FTQC) in the surface code by reducing the number of syndrome extraction rounds required between logical operations from $O(d)$ to $O(1)$. Why it matters: The work is relevant to high-control trapped-ion quantum computing platforms. The work is relevant to atom-array quantum computing and quantum simulation. It is relevant to reliable logical qubits and improved quantum reliability.

Summary

We study the power of quantum examples, as compared to classical examples, in the PAC learning framework.

Abstract

We study the power of quantum examples, as compared to classical examples, in the PAC learning framework. Here, we have two learning algorithms, both with access to quantum computation, but one gets quantum examples, whereas the other gets classical examples. It was previously unknown whether there were learning tasks that can be efficiently performed but not by the latter. Our primary result is t...

Research context

What it does: We study the power of quantum examples, as compared to classical examples, in the PAC learning framework. Why it matters: The work is relevant to high-control trapped-ion quantum computing platforms.

Summary

Quantum computation has traditionally been formulated by postulating abstract information carriers and subsequently identifying physical systems that realize them.

Abstract

Quantum computation has traditionally been formulated by postulating abstract information carriers and subsequently identifying physical systems that realize them. We adopt the opposite viewpoint and ask what computational structure is supplied by a fundamental relativistic quantum system itself. Focusing on the simplest nontrivial massive spin carrier, spin-1/2, we show that its relativistic desc...

Research context

What it does: Quantum computation has traditionally been formulated by postulating abstract information carriers and subsequently identifying physical systems that realize them. Why it matters: The work is relevant to high-control trapped-ion quantum computing platforms.

Summary

Solid state quantum emitters are a leading platform for photonic quantum networking with memory nodes.

Abstract

Solid state quantum emitters are a leading platform for photonic quantum networking with memory nodes. However, the inhomogeneous distribution of quantum emitters, as well as several environmental factors (i.e. strain and electric fields) spread the frequency spectrum of the qubits, making them distinguishable and therefore not a reliable resource for distributed quantum entanglement. In this pape...

Research context

What it does: Solid state quantum emitters are a leading platform for photonic quantum networking with memory nodes. Why it matters: The work is relevant to optical quantum information processing. The work is relevant to scalable solid-state qubit platforms.

Summary

Hamiltonian simulation is a core quantum workload, underpinning variational quantum algorithms and Trotterized time evolution.

Abstract

Hamiltonian simulation is a core quantum workload, underpinning variational quantum algorithms and Trotterized time evolution. Such programs are expressed as Pauli exponential sequences, exhibiting structural patterns that are highly amenable to high-level synthesis and optimization. Existing compilers, however, fail to fully unlock the optimization potential of their global algebraic structure, e...

Research context

What it does: Hamiltonian simulation is a core quantum workload, underpinning variational quantum algorithms and Trotterized time evolution. Why it matters: The work is relevant to high-control trapped-ion quantum computing platforms. It is relevant to computational applications of quantum devices. It is relevant to simulating quantum many-body systems.

Summary

Quantum-selected configuration interaction (QSCI) methods use a quantum computer to identify dominant electronic configurations in the molecular ground state, while a classical computer diagonalizes the Hamiltonian withi...

Abstract

Quantum-selected configuration interaction (QSCI) methods use a quantum computer to identify dominant electronic configurations in the molecular ground state, while a classical computer diagonalizes the Hamiltonian within the reduced subspace spanned by those configurations. Sample-based quantum diagonalization (SQD), a leading QSCI approach, uses iterative classical post-processing to correct noi...

Research context

What it does: Quantum-selected configuration interaction (QSCI) methods use a quantum computer to identify dominant electronic configurations in the molecular ground state, while a classical computer diagonalizes the Hamiltonian withi... Why it matters: The work is relevant to high-control trapped-ion quantum computing platforms.

Summary

Modular arithmetic is central to quantum algorithms for cryptographic problems, including Shor's algorithm and Grover-based cryptanalysis, with modular reduction contributing substantially to circuit cost.

Abstract

Modular arithmetic is central to quantum algorithms for cryptographic problems, including Shor's algorithm and Grover-based cryptanalysis, with modular reduction contributing substantially to circuit cost. Pseudo-Mersenne moduli $q=2^n-c$ allow classical Crandall reduction to replace division with folding and constant arithmetic, providing a structural opportunity for more efficient quantum modula...

Research context

What it does: Modular arithmetic is central to quantum algorithms for cryptographic problems, including Shor's algorithm and Grover-based cryptanalysis, with modular reduction contributing substantially to circuit cost. Why it matters: The work is relevant to high-control trapped-ion quantum computing platforms. It is relevant to computational applications of quantum devices.

Summary

Message-passing decoders are among the most promising candidates for scalable quantum error correction, yet their behavior in the low-error-rate regime remains poorly understood under realistic circuit-level noise.

Abstract

Message-passing decoders are among the most promising candidates for scalable quantum error correction, yet their behavior in the low-error-rate regime remains poorly understood under realistic circuit-level noise. In this work, we introduce a systematic framework for identifying the graph structures that govern decoder failures and for using them to predict the resulting error floor. We apply exh...

Research context

What it does: Message-passing decoders are among the most promising candidates for scalable quantum error correction, yet their behavior in the low-error-rate regime remains poorly understood under realistic circuit-level noise. Why it matters: The work is relevant to high-control trapped-ion quantum computing platforms. It is relevant to reliable logical qubits and improved quantum reliability.

Summary

Extracting quantum information from a quantum state is a fundamental task of quantum computation, often requiring the estimation of many non-commuting observables under a finite measurement budget.

Abstract

Extracting quantum information from a quantum state is a fundamental task of quantum computation, often requiring the estimation of many non-commuting observables under a finite measurement budget. For both near-term and early fault-tolerant settings, the measurement protocol must balance statistical efficiency against implementation resources such as circuit depth, connectivity, and entangling-ga...

Research context

What it does: Extracting quantum information from a quantum state is a fundamental task of quantum computation, often requiring the estimation of many non-commuting observables under a finite measurement budget. Why it matters: The work is relevant to high-control trapped-ion quantum computing platforms.

Summary

Evaluating expectation values is a critical task for variational quantum eigensolvers, and for parameterized quantum circuits and other quantum algorithms more generally.

Abstract

Evaluating expectation values is a critical task for variational quantum eigensolvers, and for parameterized quantum circuits and other quantum algorithms more generally. We consider the well-studied case of the Quantum Approximate Optimization Algorithm (QAOA) for the MaxCut problem. Recent work of Wang et al. [arXiv:2511.20212] showed this task to be NP-hard in general for any QAOA depth $p\geq...

Research context

What it does: Evaluating expectation values is a critical task for variational quantum eigensolvers, and for parameterized quantum circuits and other quantum algorithms more generally. Why it matters: The work is relevant to high-control trapped-ion quantum computing platforms. It is relevant to computational applications of quantum devices.

Summary

We apply continuous measurement-based holonomic quantum computation (CMHQC) to bosonic quantum error-correcting codes and develop explicit protocols for both four-component cat codes and Gottesman-Kitaev-Preskill (GKP) c...

Abstract

We apply continuous measurement-based holonomic quantum computation (CMHQC) to bosonic quantum error-correcting codes and develop explicit protocols for both four-component cat codes and Gottesman-Kitaev-Preskill (GKP) codes. In this framework, a continuously monitored time-dependent codespace undergoes a closed trajectory on the Grassmannian manifold while Zeno confinement suppresses departures f...

Research context

What it does: We apply continuous measurement-based holonomic quantum computation (CMHQC) to bosonic quantum error-correcting codes and develop explicit protocols for both four-component cat codes and Gottesman-Kitaev-Preskill (GKP) c... Why it matters: The work is relevant to high-control trapped-ion quantum computing platforms.

Summary

We investigate particle production from classical fields, a phenomenon central to the pre-equilibrium dynamics of relativistic heavy-ion collisions and the reheating epoch of the early Universe.

Abstract

We investigate particle production from classical fields, a phenomenon central to the pre-equilibrium dynamics of relativistic heavy-ion collisions and the reheating epoch of the early Universe. Using lattice $λφ^4$ theory as a proof of principle, we show that this problem is naturally amenable to quantum computation, providing a first-principles framework for nonequilibrium quantum-field dynamics...

Research context

What it does: We investigate particle production from classical fields, a phenomenon central to the pre-equilibrium dynamics of relativistic heavy-ion collisions and the reheating epoch of the early Universe. Why it matters: The work is relevant to high-control trapped-ion quantum computing platforms.

Summary

Free electrons, driven by rapid advances in photon-induced near-field electron microscopy, have emerged as a promising platform for quantum information processing, including quantum computing and quantum sensing.

Abstract

Free electrons, driven by rapid advances in photon-induced near-field electron microscopy, have emerged as a promising platform for quantum information processing, including quantum computing and quantum sensing. However, conventional measurements that rely on the electron energy loss spectrum (EELS) are inherently destructive to electron qubits, thereby constraining their applicability. In this L...

Research context

What it does: Free electrons, driven by rapid advances in photon-induced near-field electron microscopy, have emerged as a promising platform for quantum information processing, including quantum computing and quantum sensing. Why it matters: The work is relevant to high-control trapped-ion quantum computing platforms. The work is relevant to optical quantum information processing.

Summary

For the often encountered problem of the Poisson equation, this work presents a quantum algorithm solving it based on the quantum Fourier transform (QFT) for periodic boundary conditions as well as free field conditions...

Abstract

For the often encountered problem of the Poisson equation, this work presents a quantum algorithm solving it based on the quantum Fourier transform (QFT) for periodic boundary conditions as well as free field conditions, where the latter is realized via the Hockney method. Besides the QFT and an initialization procedure for amplitude encoding, the algorithm just uses a procedure for multiplying th...

Research context

What it does: For the often encountered problem of the Poisson equation, this work presents a quantum algorithm solving it based on the quantum Fourier transform (QFT) for periodic boundary conditions as well as free field conditions... Why it matters: The work is relevant to high-control trapped-ion quantum computing platforms. It is relevant to computational applications of quantum devices.

Summary

Computational electromagnetics plays a central role in many industrial applications but often requires substantial computational resources, particularly when fine spatial discretizations are needed.

Abstract

Computational electromagnetics plays a central role in many industrial applications but often requires substantial computational resources, particularly when fine spatial discretizations are needed. While classical approaches remain the standard, quantum computing offers the potential to accelerate large-scale simulations by encoding them with a limited number of qubits. Here, we investigate the...

Research context

What it does: Computational electromagnetics plays a central role in many industrial applications but often requires substantial computational resources, particularly when fine spatial discretizations are needed. Why it matters: The work is relevant to high-control trapped-ion quantum computing platforms.

Summary

GKP states enable fault-tolerant CV quantum computation, but their generation remains experimentally challenging due to their highly non-Gaussian and infinite-energy ideal structure.

Abstract

GKP states enable fault-tolerant CV quantum computation, but their generation remains experimentally challenging due to their highly non-Gaussian and infinite-energy ideal structure. In this work, we present a realistic and scalable protocol for generating finite-energy resource states, specifically the qunaught state, using Schrodinger cat states generated in a strongly coupled quantum dot-cavity...

Research context

What it does: GKP states enable fault-tolerant CV quantum computation, but their generation remains experimentally challenging due to their highly non-Gaussian and infinite-energy ideal structure. Why it matters: The work is relevant to high-control trapped-ion quantum computing platforms. The work is relevant to optical quantum information processing. The work is relevant to scalable solid-state qubit platforms.

Summary

In fault-tolerant quantum computing, fast and accurate decoding is crucial.

Abstract

In fault-tolerant quantum computing, fast and accurate decoding is crucial. Snowflake is a decoder for the surface code that runs in a streaming fashion. In this paper, we implement Snowflake on commercial FPGAs and validate them at room and cryogenic temperatures. Our results demonstrate high decoding throughput for small code distances that, when extrapolated, remains within acceptable limits fo...

Research context

What it does: In fault-tolerant quantum computing, fast and accurate decoding is crucial. Why it matters: It is relevant to reliable logical qubits and improved quantum reliability.

Summary

Pure-state entanglement rests on a single algebraic backbone: majorization of the Schmidt spectrum governs state conversion under local operations and classical communication, and constrains entanglement monotones.

Abstract

Pure-state entanglement rests on a single algebraic backbone: majorization of the Schmidt spectrum governs state conversion under local operations and classical communication, and constrains entanglement monotones. Here we establish a corresponding majorization law for fermionic non-Gaussianity, the resource that elevates free fermions to universal quantum computation. Under any fermionic Gaussian...

Research context

What it does: Pure-state entanglement rests on a single algebraic backbone: majorization of the Schmidt spectrum governs state conversion under local operations and classical communication, and constrains entanglement monotones. Why it matters: The work is relevant to high-control trapped-ion quantum computing platforms. The work is relevant to fault-tolerant approaches based on topology.

Summary

We reveal long-lived memory effects in the defect bath of a superconducting transmon qubit through electric-field tuning of two-level system (TLS) defects coupled to the qubit.

Abstract

We reveal long-lived memory effects in the defect bath of a superconducting transmon qubit through electric-field tuning of two-level system (TLS) defects coupled to the qubit. Using a fast TLS mapping method we observe several hysteretic effects in the TLS environment with memory timescales of the order of seconds, far beyond the lifetimes of individual TLS defects. The observations can be explai...

Research context

What it does: We reveal long-lived memory effects in the defect bath of a superconducting transmon qubit through electric-field tuning of two-level system (TLS) defects coupled to the qubit. Why it matters: The work is relevant to circuit-based quantum processors. The work is relevant to high-control trapped-ion quantum computing platforms. It is relevant to reliable logical qubits and improved quantum reliability.

Summary

Practical implementations of quantum error correction (QEC) require rapid measurement and continuous processing of the syndrome information in order to prevent a backlog of unprocessed data.

Abstract

Practical implementations of quantum error correction (QEC) require rapid measurement and continuous processing of the syndrome information in order to prevent a backlog of unprocessed data. While ``static'' QEC is theoretically well understood via mappings to equilibrium statistical mechanics models, such an understanding of ``real-time'' QEC is currently lacking. Here, we study the kinetics of s...

Research context

What it does: Practical implementations of quantum error correction (QEC) require rapid measurement and continuous processing of the syndrome information in order to prevent a backlog of unprocessed data. Why it matters: The work is relevant to high-control trapped-ion quantum computing platforms. It is relevant to reliable logical qubits and improved quantum reliability.

Summary

Product codes are an important class of quantum error-correcting codes constructed from multiple input codes, which can give rise to asymptotically good quantum low-density parity check codes.

Abstract

Product codes are an important class of quantum error-correcting codes constructed from multiple input codes, which can give rise to asymptotically good quantum low-density parity check codes. In previous work, we showed how the product between two codes can be physically implemented by coupling layers of the first code using checks of the second code. In this work, we further unify product code c...

Research context

What it does: Product codes are an important class of quantum error-correcting codes constructed from multiple input codes, which can give rise to asymptotically good quantum low-density parity check codes. Why it matters: The work is relevant to high-control trapped-ion quantum computing platforms.

Summary

Quantum coherence underlies collective quantum phenomena and emerging quantum technologies.

Abstract

Quantum coherence underlies collective quantum phenomena and emerging quantum technologies. Quantum gas microscopes have transformed quantum simulation by providing projective snapshots of many-body states with single-atom resolution, but spatially resolved measurements of off-diagonal correlations have remained elusive. Here, using the Talbot effect, we introduce a quantum coherence microscope th...

Research context

What it does: Quantum coherence underlies collective quantum phenomena and emerging quantum technologies. Why it matters: The work is relevant to high-control trapped-ion quantum computing platforms. It is relevant to simulating quantum many-body systems. It is relevant to understanding correlations and collective quantum behavior.

Summary

Nonlinear stochastic differential equations (SDEs) underlie molecular modeling and drug discovery, quantitative finance, stochastic learning, and uncertainty quantification.

Abstract

Nonlinear stochastic differential equations (SDEs) underlie molecular modeling and drug discovery, quantitative finance, stochastic learning, and uncertainty quantification. Their expectations, event probabilities, and time correlations are therefore natural targets for quantum computation, but nonlinear drift and averaging over noise realizations obstruct a direct quantum representation. We devel...

Research context

What it does: Nonlinear stochastic differential equations (SDEs) underlie molecular modeling and drug discovery, quantitative finance, stochastic learning, and uncertainty quantification. Why it matters: The work is relevant to high-control trapped-ion quantum computing platforms.

Summary

Quantum computing is a promising way to study problems that are difficult for classical methods, but current quantum hardware still faces limits in scale, noise, and fidelity.

Abstract

Quantum computing is a promising way to study problems that are difficult for classical methods, but current quantum hardware still faces limits in scale, noise, and fidelity. Running quantum algorithms on physical machines can also be costly. Quantum circuit simulators therefore remain important because they let researchers design and test algorithms on classical computers before using quantum ha...

Research context

What it does: Quantum computing is a promising way to study problems that are difficult for classical methods, but current quantum hardware still faces limits in scale, noise, and fidelity. Why it matters: The work is relevant to high-control trapped-ion quantum computing platforms. It is relevant to computational applications of quantum devices. It is relevant to simulating quantum many-body systems.

Summary

Fault-tolerant quantum computation architectures are frequently bottlenecked by the overhead of producing high-fidelity magic states.

Abstract

Fault-tolerant quantum computation architectures are frequently bottlenecked by the overhead of producing high-fidelity magic states. In this work, we use algebraic geometric techniques to construct codes over binary extension fields $\mathbb{F}_{2^s}$, thus discovering new protocols for the distillation of qubit magic states, where our focus is on the regime of practical qubit-based quantum compu...

Research context

What it does: Fault-tolerant quantum computation architectures are frequently bottlenecked by the overhead of producing high-fidelity magic states. Why it matters: The work is relevant to high-control trapped-ion quantum computing platforms. It is relevant to reliable logical qubits and improved quantum reliability.

Summary

Quantum algorithms for nonlinear partial differential equations remain challenging because nonlinear dynamics are not directly amenable to unitary quantum simulation.

Abstract

Quantum algorithms for nonlinear partial differential equations remain challenging because nonlinear dynamics are not directly amenable to unitary quantum simulation. Building on the level-set formulation, we construct a quantum algorithm and provide an explicit gate-level implementation for solving scalar conservation laws. The nonlinear equation is first lifted to a linear Liouville equation, di...

Research context

What it does: Quantum algorithms for nonlinear partial differential equations remain challenging because nonlinear dynamics are not directly amenable to unitary quantum simulation. Why it matters: The work is relevant to high-control trapped-ion quantum computing platforms. It is relevant to computational applications of quantum devices. It is relevant to simulating quantum many-body systems.

Summary

A key challenge when designing hybrid quantum-classical workflows is the identification of quantum candidates, that is, determining for which specific problems quantum advantages could potentially be achieved.

Abstract

A key challenge when designing hybrid quantum-classical workflows is the identification of quantum candidates, that is, determining for which specific problems quantum advantages could potentially be achieved. When choosing between several candidates, it is crucial to consider the characteristics specific to the problem, as these can fundamentally determine how successful quantum or classical appr...

Research context

What it does: A key challenge when designing hybrid quantum-classical workflows is the identification of quantum candidates, that is, determining for which specific problems quantum advantages could potentially be achieved. Why it matters: The work is relevant to high-control trapped-ion quantum computing platforms.

Summary

A well-balanced decoder has been central to the development of modern fault-tolerant quantum computing.

Abstract

A well-balanced decoder has been central to the development of modern fault-tolerant quantum computing. However, the inherent topologies of quantum error correcting codes can limit the performance of many well-studied decoding algorithms. In this work, we introduce Noise Assisted Ensemble Decoding (NAED), a highly accurate decoding framework with a significant advantage in real-time speed. NAED co...

Research context

What it does: A well-balanced decoder has been central to the development of modern fault-tolerant quantum computing. Why it matters: The work is relevant to high-control trapped-ion quantum computing platforms. It is relevant to reliable logical qubits and improved quantum reliability.

Summary

Automatic uncomputation aims to provide programming-language-level support to facilitate the correct and safe use of ancilla qubits in quantum computing, but efforts have only been made for clean ancillas, leaving dirty...

Abstract

Automatic uncomputation aims to provide programming-language-level support to facilitate the correct and safe use of ancilla qubits in quantum computing, but efforts have only been made for clean ancillas, leaving dirty ancillas unexplored. We present a unified formalization of the uncomputation of both clean and dirty ancillas. For the first time, we prove that checking the existence of uncomputa...

Research context

What it does: Automatic uncomputation aims to provide programming-language-level support to facilitate the correct and safe use of ancilla qubits in quantum computing, but efforts have only been made for clean ancillas, leaving dirty... Why it matters: The work is relevant to broader quantum computing research and helps contextualize progress in the field.

Summary

We study algorithms for approximating the multimarginal optimal transport (MOT) distance, a generalization of the classic optimal transport distance, between $m$ discrete probability distributions each supported on at mo...

Abstract

We study algorithms for approximating the multimarginal optimal transport (MOT) distance, a generalization of the classic optimal transport distance, between $m$ discrete probability distributions each supported on at most $n$ points. We give a classical algorithm that computes a coupling between these marginals whose expected transportation cost is within an additive $\varepsilon > 0$ of the MOT...

Research context

What it does: We study algorithms for approximating the multimarginal optimal transport (MOT) distance, a generalization of the classic optimal transport distance, between $m$ discrete probability distributions each supported on at mo... Why it matters: The work is relevant to high-control trapped-ion quantum computing platforms. It is relevant to computational applications of quantum devices.

Summary

Boson sampling arising from multiphoton interference in linear-optical networks is a prominent non-universal model for quantum computation.

Abstract

Boson sampling arising from multiphoton interference in linear-optical networks is a prominent non-universal model for quantum computation. Here, by encoding the multi-qubit state to bosonic Fock state, we present a scalable quantum-circuit framework for simulating boson sampling on a universal quantum computing platform. Beginning with balanced beam-splitter transformations on the single- and two...

Research context

What it does: Boson sampling arising from multiphoton interference in linear-optical networks is a prominent non-universal model for quantum computation. Why it matters: The work is relevant to high-control trapped-ion quantum computing platforms. The work is relevant to optical quantum information processing.

Summary

Qubit coherence is an essential figure of merit for quantum information processing applications such as quantum computing, or quantum repeaters.

Abstract

Qubit coherence is an essential figure of merit for quantum information processing applications such as quantum computing, or quantum repeaters. Understanding the coherence properties of the underlying physical qubits that facilitate such applications is therefore are often limited by coupling to lattice phonons, which in turn constrains operation temperature. Here we study phonon induced electron...

Research context

What it does: Qubit coherence is an essential figure of merit for quantum information processing applications such as quantum computing, or quantum repeaters. Why it matters: The work is relevant to high-control trapped-ion quantum computing platforms.

Summary

In this work, we demonstrate a quantum pulse gate (QPG) in thin-film lithium niobate.

Abstract

In this work, we demonstrate a quantum pulse gate (QPG) in thin-film lithium niobate. QPGs enable the selective manipulation and detection of temporal modes of quantum light and form the basis of numerous applications in photonic quantum technologies. To date, their widespread adaption is held back by two main limitations: restricted wavelength and polarization combinations of the involved fields...

Research context

What it does: In this work, we demonstrate a quantum pulse gate (QPG) in thin-film lithium niobate. Why it matters: The work is relevant to high-control trapped-ion quantum computing platforms. The work is relevant to optical quantum information processing.

Summary

Architectural specialization and distribution can help scale fault-tolerant quantum computers, but may also introduce substantial overheads from communication, routing, and resource duplication.

Abstract

Architectural specialization and distribution can help scale fault-tolerant quantum computers, but may also introduce substantial overheads from communication, routing, and resource duplication. We introduce a heterogeneous distributed architecture in which a magic core is connected to an extensible storage system composed of one-dimensional lanes of specialized cold-storage nodes. The storage sys...

Research context

What it does: Architectural specialization and distribution can help scale fault-tolerant quantum computers, but may also introduce substantial overheads from communication, routing, and resource duplication. Why it matters: The work is relevant to high-control trapped-ion quantum computing platforms. It is relevant to reliable logical qubits and improved quantum reliability. It is relevant to simulating quantum many-body systems.

Summary

One of the obstacles to the widespread adoption of quantum computing is the problem of efficient circuit synthesis.

Abstract

One of the obstacles to the widespread adoption of quantum computing is the problem of efficient circuit synthesis. Current quantum hardware has limited connections between qubits, with each qubit connected to only a few others. This means that the circuit has to be transformed to accommodate this. In this paper, we present an algorithm that converts a circuit containing a sequence of CNOT gates i...

Research context

What it does: One of the obstacles to the widespread adoption of quantum computing is the problem of efficient circuit synthesis. Why it matters: The work is relevant to high-control trapped-ion quantum computing platforms. It is relevant to computational applications of quantum devices.

Summary

Multiple quantum computing platforms across neutral atoms [1], nitrogen vacancy centres [2, 3], gate-defined dots [4-6] and 14|15 phosphorus atom qubits [7, 8] in silicon are experimentally exploring the use of high conn...

Abstract

Multiple quantum computing platforms across neutral atoms [1], nitrogen vacancy centres [2, 3], gate-defined dots [4-6] and 14|15 phosphorus atom qubits [7, 8] in silicon are experimentally exploring the use of high connectivity qubits, beyond that of nearest-neighbour planar lattices. Theoretical works consider modifications to fault-tolerant codes to leverage this higher qubit connectivity, such...

Research context

What it does: Multiple quantum computing platforms across neutral atoms [1], nitrogen vacancy centres [2, 3], gate-defined dots [4-6] and 14|15 phosphorus atom qubits [7, 8] in silicon are experimentally exploring the use of high conn... Why it matters: The work is relevant to circuit-based quantum processors. The work is relevant to high-control trapped-ion quantum computing platforms. The work is relevant to atom-array quantum computing and quantum simulation. The work is relevant to optical quantum information processing. It is relevant to reliable logical qubits and improved quantum reliability.

Summary

Nuclear gradients and Hessians are fundamental quantities in computational chemistry, essential for a wide range of applications including geometry optimization, vibrational spectroscopy, and molecular property calculati...

Abstract

Nuclear gradients and Hessians are fundamental quantities in computational chemistry, essential for a wide range of applications including geometry optimization, vibrational spectroscopy, and molecular property calculations. In this work, we present their analytical implementation on quantum hardware. The methodology is formulated within an active-space framework combining orbital optimization and...

Research context

What it does: Nuclear gradients and Hessians are fundamental quantities in computational chemistry, essential for a wide range of applications including geometry optimization, vibrational spectroscopy, and molecular property calculati... Why it matters: The work is relevant to high-control trapped-ion quantum computing platforms. It is relevant to computational applications of quantum devices.

Summary

We report experimental and theoretical investigations of interacting excitons of the yellow series in cuprous oxide (Cu$_2$O) with principal quantum numbers up to by means of second harmonic generation (SHG).

Abstract

We report experimental and theoretical investigations of interacting excitons of the yellow series in cuprous oxide (Cu$_2$O) with principal quantum numbers up to by means of second harmonic generation (SHG). Using picosecond pulsed laser excitation up to 10 GW/cm$^2$ peak intensity we observe a pronounced change of the spectra with increasing pump laser intensity: an energetic shift to lower abso...

Research context

What it does: We report experimental and theoretical investigations of interacting excitons of the yellow series in cuprous oxide (Cu$_2$O) with principal quantum numbers up to by means of second harmonic generation (SHG). Why it matters: The work is relevant to high-control trapped-ion quantum computing platforms. The work is relevant to atom-array quantum computing and quantum simulation. The work is relevant to optical quantum information processing.

Summary

Quantum algorithms are conventionally presented with their input state supplied for free.

Abstract

Quantum algorithms are conventionally presented with their input state supplied for free. When the input is classical data, this convention conceals a cost that is frequently larger than the algorithm it precedes. We review what the three standard encodings, such as basis encoding, amplitude encoding, and Grover--Rudolph distribution loading, actually cost once transpiled to a hardware gate set, a...

Research context

What it does: Quantum algorithms are conventionally presented with their input state supplied for free. Why it matters: The work is relevant to high-control trapped-ion quantum computing platforms. It is relevant to computational applications of quantum devices.

Summary

Quantum computers can generate real-time correlators of field theories.

Abstract

Quantum computers can generate real-time correlators of field theories. By adapting the generalized eigenvalue problem to these correlators, energy eigenvalues can be extracted directly. The method is tested using both classical simulations and quantum hardware, successfully resolving several low-lying energy levels in agreement with exact diagonalization. Comparison with an alternative spectrum d...

Research context

What it does: Quantum computers can generate real-time correlators of field theories. Why it matters: The work is relevant to high-control trapped-ion quantum computing platforms.

Summary

Quantum error correction has become an indispensable tool for restoring Heisenberg-limited precision in noisy quantum metrology.

Abstract

Quantum error correction has become an indispensable tool for restoring Heisenberg-limited precision in noisy quantum metrology. Existing protocols, however, almost exclusively focus on correcting noise during the signal-encoding stage and implicitly assume that the probe is measured immediately after sensing. In many quantum information processing tasks, the encoded probe must instead be stored b...

Research context

What it does: Quantum error correction has become an indispensable tool for restoring Heisenberg-limited precision in noisy quantum metrology. Why it matters: The work is relevant to high-control trapped-ion quantum computing platforms. It is relevant to reliable logical qubits and improved quantum reliability.

Summary

Frequency-multiplexed superconducting-qubit control requires more than carrier assignment: the RF budget of a shared source can perturb multi-qubit rotations through finite bandwidth, crest factor, clipping, quantization...

Abstract

Frequency-multiplexed superconducting-qubit control requires more than carrier assignment: the RF budget of a shared source can perturb multi-qubit rotations through finite bandwidth, crest factor, clipping, quantization, jitter, spurs, compression, crosstalk, and leakage. We present an RF-budgeted frame-compilation and validation workflow that combines qubit-control identity (QID) records, a MATL...

Research context

What it does: Frequency-multiplexed superconducting-qubit control requires more than carrier assignment: the RF budget of a shared source can perturb multi-qubit rotations through finite bandwidth, crest factor, clipping, quantization... Why it matters: The work is relevant to circuit-based quantum processors. The work is relevant to high-control trapped-ion quantum computing platforms. It is relevant to computational applications of quantum devices.

Summary

We connect different degrees of smoothness of real-valued periodic functions to the cost of preparing their high-precision Fourier-basis amplitude encodings as quantum states.

Abstract

We connect different degrees of smoothness of real-valued periodic functions to the cost of preparing their high-precision Fourier-basis amplitude encodings as quantum states. Our central observation is that the Gevrey hierarchy, which stratifies the space between smooth and analytic functions, provides a natural class for high-precision quantum algorithms. We then specialize to solving general li...

Research context

What it does: We connect different degrees of smoothness of real-valued periodic functions to the cost of preparing their high-precision Fourier-basis amplitude encodings as quantum states. Why it matters: The work is relevant to high-control trapped-ion quantum computing platforms. It is relevant to computational applications of quantum devices. It is relevant to simulating quantum many-body systems. It is relevant to understanding correlations and collective quantum behavior.

Summary

In this paper, we propose a multistage decoding framework that leverages internal information produced by an underlying message-passing decoder.

Abstract

In this paper, we propose a multistage decoding framework that leverages internal information produced by an underlying message-passing decoder. The proposed method targets the failure dynamics caused by both classical trapping sets and degenerate errors supported on symmetric stabilizers, which are among the primary limitations of iterative decoding for QLDPC codes. To identify unreliable variabl...

Research context

What it does: In this paper, we propose a multistage decoding framework that leverages internal information produced by an underlying message-passing decoder. Why it matters: The work is relevant to high-control trapped-ion quantum computing platforms. It is relevant to reliable logical qubits and improved quantum reliability.

Summary

Open-system descriptions are typically introduced by coupling a quantum system to an external environment.

Abstract

Open-system descriptions are typically introduced by coupling a quantum system to an external environment. Here we show that a closed interacting many-body system can itself generate a controlled non-Markovian quantum channel acting on a reduced nonlinear qubit through finite-size corrections to a nonlinear mean-field limit. We demonstrate this using the Kitagawa-Ueda one-axis twisting model, $H=χ...

Research context

What it does: Open-system descriptions are typically introduced by coupling a quantum system to an external environment. Why it matters: The work is relevant to high-control trapped-ion quantum computing platforms. It is relevant to understanding correlations and collective quantum behavior.

Summary

Product formulas, also known as Trotter formulas, are among the most widely used and practical methods for simulating quantum systems on quantum computers.

Abstract

Product formulas, also known as Trotter formulas, are among the most widely used and practical methods for simulating quantum systems on quantum computers. Here we introduce two new classes of randomized product formulas for simulating Hamiltonians with separated energy scales, $H=A+αB$, where $α$ is small. In the standard access model, where one can implement exponentials of $A$ and $B$ separatel...

Research context

What it does: Product formulas, also known as Trotter formulas, are among the most widely used and practical methods for simulating quantum systems on quantum computers. Why it matters: The work is relevant to high-control trapped-ion quantum computing platforms.

Summary

Quantum optimization has shown promising results for quadratic unconstrained binary optimization (QUBO) problems.

Abstract

Quantum optimization has shown promising results for quadratic unconstrained binary optimization (QUBO) problems. Real-world applications, however, often involve polynomial coefficients that depend on tunable external factors - such as demand forecasts or risk preferences - giving rise to bilevel optimization structures. We show how variational quantum algorithms (VQAs) can efficiently handle such...

Research context

What it does: Quantum optimization has shown promising results for quadratic unconstrained binary optimization (QUBO) problems. Why it matters: The work is relevant to high-control trapped-ion quantum computing platforms. It is relevant to computational applications of quantum devices.

Summary

Generating entanglement rapidly and reliably is essential for quantum information processing, communication, and metrology.

Abstract

Generating entanglement rapidly and reliably is essential for quantum information processing, communication, and metrology. Dissipative preparation is attractive because engineered reservoirs robustly drive a system toward an entangled target, yet relaxation can carry a substantial time cost. Here we formulate the entanglement Mpemba effect, whereby an initially less entangled state overtakes a mo...

Research context

What it does: Generating entanglement rapidly and reliably is essential for quantum information processing, communication, and metrology. Why it matters: The work is relevant to high-control trapped-ion quantum computing platforms. It is relevant to computational applications of quantum devices.

Summary

High rate quantum low-density parity-check codes on reconfigurable neutral-atom arrays can reduce the overhead of quantum error correction, but near-term devices support only hundreds of qubits with limited reconfigurabi...

Abstract

High rate quantum low-density parity-check codes on reconfigurable neutral-atom arrays can reduce the overhead of quantum error correction, but near-term devices support only hundreds of qubits with limited reconfigurability from a few crossed acousto-optic deflectors (AOD). A practical code must be compact in addition to low-overhead, with checks and logical gates mapping onto hardware-compatible...

Research context

What it does: High rate quantum low-density parity-check codes on reconfigurable neutral-atom arrays can reduce the overhead of quantum error correction, but near-term devices support only hundreds of qubits with limited reconfigurabi... Why it matters: The work is relevant to high-control trapped-ion quantum computing platforms. The work is relevant to atom-array quantum computing and quantum simulation. The work is relevant to fault-tolerant approaches based on topology. It is relevant to reliable logical qubits and improved quantum reliability.

Summary

Flip-chip integration offers a promising route toward scalable superconducting quantum processors and hybrid semiconductor-superconductor quantum devices.

Abstract

Flip-chip integration offers a promising route toward scalable superconducting quantum processors and hybrid semiconductor-superconductor quantum devices. We develop a three-dimensional transmon architecture using electroplated indium in which the qubit electric field is shared nearly equally between two bump-bonded substrates while maintaining low participation at the indium-bump interface. The r...

Research context

What it does: Flip-chip integration offers a promising route toward scalable superconducting quantum processors and hybrid semiconductor-superconductor quantum devices. Why it matters: The work is relevant to circuit-based quantum processors.

Summary

The transient regime of far-from-equilibrium quantum many-body dynamics lacks the established organizing principles that universality and scaling provide in equilibrium.

Abstract

The transient regime of far-from-equilibrium quantum many-body dynamics lacks the established organizing principles that universality and scaling provide in equilibrium. It is least understood for two-dimensional short-range interacting systems, where mean-field arguments are not expected to hold, controlled theoretical descriptions are few, and fluctuations are strong. Here we investigate the que...

Research context

What it does: The transient regime of far-from-equilibrium quantum many-body dynamics lacks the established organizing principles that universality and scaling provide in equilibrium. Why it matters: The work is relevant to high-control trapped-ion quantum computing platforms. The work is relevant to atom-array quantum computing and quantum simulation. It is relevant to computational applications of quantum devices. It is relevant to understanding correlations and collective quantum behavior.

Summary

We propose and demonstrate the Kramers-Henneberger KH) atom as a novel qubit platform for ultrafast single-qubit gate operations.

Abstract

We propose and demonstrate the Kramers-Henneberger KH) atom as a novel qubit platform for ultrafast single-qubit gate operations. In the KH frame, the time-averaged strong laser field engineers a double-well potential whose two lowest eigenstates define the qubit basis, so that the computational structure is created and maintained by the driving field itself. A weak resonant control field drives c...

Research context

What it does: We propose and demonstrate the Kramers-Henneberger KH) atom as a novel qubit platform for ultrafast single-qubit gate operations. Why it matters: The work is relevant to circuit-based quantum processors. The work is relevant to high-control trapped-ion quantum computing platforms.

Summary

How quantum matter relaxes far from equilibrium is a central open problem in many-body physics, and one for which analog quantum simulators are well positioned to move from confirming theory to discovering new physics.

Abstract

How quantum matter relaxes far from equilibrium is a central open problem in many-body physics, and one for which analog quantum simulators are well positioned to move from confirming theory to discovering new physics. Here, we use a two-dimensional Rydberg atom array of 256 qubits to map the relaxation landscape of the two-dimensional transverse-field Ising model across its phase diagram. Beyond...

Research context

What it does: How quantum matter relaxes far from equilibrium is a central open problem in many-body physics, and one for which analog quantum simulators are well positioned to move from confirming theory to discovering new physics. Why it matters: The work is relevant to atom-array quantum computing and quantum simulation. It is relevant to simulating quantum many-body systems. It is relevant to understanding correlations and collective quantum behavior.

Summary

The failure of quantum thermalization due to Many-Body Localization (MBL) has evolved from a theoretical concept in spin chains to an experimental reality in synthetic quantum platforms, most notably superconducting circ...

Abstract

The failure of quantum thermalization due to Many-Body Localization (MBL) has evolved from a theoretical concept in spin chains to an experimental reality in synthetic quantum platforms, most notably superconducting circuits based on transmon qubits. Despite its significance, the MBL transition has been studied primarily under purely random disorder and local couplings, leaving more complex and re...

Research context

What it does: The failure of quantum thermalization due to Many-Body Localization (MBL) has evolved from a theoretical concept in spin chains to an experimental reality in synthetic quantum platforms, most notably superconducting circ... Why it matters: The work is relevant to circuit-based quantum processors. The work is relevant to high-control trapped-ion quantum computing platforms. It is relevant to understanding correlations and collective quantum behavior.

Summary

Quantum algorithms for simulating linear differential equations have attracted growing interest, driven by applications ranging from Hamiltonian dynamics to general non-unitary dynamics.

Abstract

Quantum algorithms for simulating linear differential equations have attracted growing interest, driven by applications ranging from Hamiltonian dynamics to general non-unitary dynamics. While time-independent cases are well studied, time-dependent non-unitary dynamics remains considerably less explored, and it is unclear how to systematically adapt existing solvers for time-independent systems to...

Research context

What it does: Quantum algorithms for simulating linear differential equations have attracted growing interest, driven by applications ranging from Hamiltonian dynamics to general non-unitary dynamics. Why it matters: The work is relevant to high-control trapped-ion quantum computing platforms. It is relevant to computational applications of quantum devices.

Summary

Neutral atoms trapped in optical tweezers and excited to Rydberg states, together with trapped ions, are among the most advanced platforms for quantum simulation and quantum computing.

Abstract

Neutral atoms trapped in optical tweezers and excited to Rydberg states, together with trapped ions, are among the most advanced platforms for quantum simulation and quantum computing. Current experiments often rely on additional atoms in neighboring traps to encode ancilla qubits for local manipulation and readout. Here, we demonstrate a dual ion-Rydberg system comprising two qubits encoded in tw...

Research context

What it does: Neutral atoms trapped in optical tweezers and excited to Rydberg states, together with trapped ions, are among the most advanced platforms for quantum simulation and quantum computing. Why it matters: The work is relevant to high-control trapped-ion quantum computing platforms. The work is relevant to atom-array quantum computing and quantum simulation. It is relevant to simulating quantum many-body systems.

Summary

The amplification of quantum information carried by a single quantum excitation is a recurring challenge across diverse quantum platforms.

Abstract

The amplification of quantum information carried by a single quantum excitation is a recurring challenge across diverse quantum platforms. The coupling between a single qubit and a mesoscopic ensemble of spins, for example, can be leveraged to realize non-destructive detection of the qubit state. However, realizing robust couplings between such systems is experimentally challenging and typically r...

Research context

What it does: The amplification of quantum information carried by a single quantum excitation is a recurring challenge across diverse quantum platforms. Why it matters: The work is relevant to high-control trapped-ion quantum computing platforms. The work is relevant to atom-array quantum computing and quantum simulation. The work is relevant to optical quantum information processing.

Summary

Distributed quantum computing provides a scalable route for executing quantum circuits beyond the capacity limits of a single quantum processing unit (QPU), but it introduces a communication-aware compilation problem inv...

Abstract

Distributed quantum computing provides a scalable route for executing quantum circuits beyond the capacity limits of a single quantum processing unit (QPU), but it introduces a communication-aware compilation problem involving strict hardware constraints and circuit dependencies. This paper presents an architecture-aware reinforcement-learning framework that formulates distributed quantum compilat...

Research context

What it does: Distributed quantum computing provides a scalable route for executing quantum circuits beyond the capacity limits of a single quantum processing unit (QPU), but it introduces a communication-aware compilation problem inv... Why it matters: The work is relevant to high-control trapped-ion quantum computing platforms. It is relevant to reliable logical qubits and improved quantum reliability.

Summary

Electron spin qubits in microwave cavities provide a promising platform for scalable quantum computing hardware, leveraging long coherence times, charge-noise robustness and cavity mediated qubit-qubit interactions.

Abstract

Electron spin qubits in microwave cavities provide a promising platform for scalable quantum computing hardware, leveraging long coherence times, charge-noise robustness and cavity mediated qubit-qubit interactions. While the strong spin-photon coupling regime is accessible via on-chip micromagnets, scaling conventional architectures by placing multiple qubits within a single shared resonator degr...

Research context

What it does: Electron spin qubits in microwave cavities provide a promising platform for scalable quantum computing hardware, leveraging long coherence times, charge-noise robustness and cavity mediated qubit-qubit interactions. Why it matters: The work is relevant to high-control trapped-ion quantum computing platforms. The work is relevant to optical quantum information processing. The work is relevant to scalable solid-state qubit platforms.

Summary

This paper aims to contextualize the requirements for Quantum Computing (QC) algorithms to achieve a quantum advantage in solving the alternating current power flow (ACPF) problem, with a focus on runtime complexity.

Abstract

This paper aims to contextualize the requirements for Quantum Computing (QC) algorithms to achieve a quantum advantage in solving the alternating current power flow (ACPF) problem, with a focus on runtime complexity. First, we establish a benchmark for a QC iterative solver to demonstrate an advantage over the classical Newton-Raphson Load Flow (NRLF) algorithm. Next, we derive a baseline expressi...

Research context

What it does: This paper aims to contextualize the requirements for Quantum Computing (QC) algorithms to achieve a quantum advantage in solving the alternating current power flow (ACPF) problem, with a focus on runtime complexity. Why it matters: The work is relevant to high-control trapped-ion quantum computing platforms.

Summary

The quantum lattice Boltzmann (QLB) scheme of Succi and Dellar advances a four-component Dirac spinor on a lattice by a fixed sequence of local, exactly norm-preserving operations: a basis rotation, a collision, a stream...

Abstract

The quantum lattice Boltzmann (QLB) scheme of Succi and Dellar advances a four-component Dirac spinor on a lattice by a fixed sequence of local, exactly norm-preserving operations: a basis rotation, a collision, a streaming shift, and the inverse rotation. This unitarity is a structural property of the scheme, not an approximation, which suggests that a QLB time step should map onto a sequence of...

Research context

What it does: The quantum lattice Boltzmann (QLB) scheme of Succi and Dellar advances a four-component Dirac spinor on a lattice by a fixed sequence of local, exactly norm-preserving operations: a basis rotation, a collision, a stream... Why it matters: The work is relevant to high-control trapped-ion quantum computing platforms.

Summary

The Equation of State (EoS) of Nuclear Matter at high densities, and particularly that of neutron stars, resists $\mathit{ab}$ $\mathit{initio}$ Quantum Chromodynamics (QCD) computations due to the notorious sign problem...

Abstract

The Equation of State (EoS) of Nuclear Matter at high densities, and particularly that of neutron stars, resists $\mathit{ab}$ $\mathit{initio}$ Quantum Chromodynamics (QCD) computations due to the notorious sign problem of Lattice Gauge Theory at finite chemical potential. A quantum computer deploying QCD in canonical quantization should be able to make substantial progress. We set some basic goa...

Research context

What it does: The Equation of State (EoS) of Nuclear Matter at high densities, and particularly that of neutron stars, resists $\mathit{ab}$ $\mathit{initio}$ Quantum Chromodynamics (QCD) computations due to the notorious sign problem... Why it matters: The work is relevant to high-control trapped-ion quantum computing platforms.

Summary

As quantum computing continues to demonstrate promise and attract growing attention, there is an increasing need for more precise experiments to advance the development of quantum devices, as well as higher circuit throu...

Abstract

As quantum computing continues to demonstrate promise and attract growing attention, there is an increasing need for more precise experiments to advance the development of quantum devices, as well as higher circuit throughput to validate more domain applications. However, this need is hindered by a memory bottleneck at the quantum control system layer, arising from limited on-chip BRAM capacity an...

Research context

What it does: As quantum computing continues to demonstrate promise and attract growing attention, there is an increasing need for more precise experiments to advance the development of quantum devices, as well as higher circuit throu... Why it matters: The work is relevant to high-control trapped-ion quantum computing platforms.

Summary

We apply time-reversal symmetry to quantum codes and show that it imposes parity selection rules on the physical error algebra.

Abstract

We apply time-reversal symmetry to quantum codes and show that it imposes parity selection rules on the physical error algebra. A time-reversal-invariant logical qubit on an odd number of spins is a Kramers doublet, forcing every even-weight Pauli to act as a scalar. Consequently, all even-weight Knill--Laflamme conditions hold automatically, so single-qubit error detection implies correction. We...

Research context

What it does: We apply time-reversal symmetry to quantum codes and show that it imposes parity selection rules on the physical error algebra. Why it matters: The work is relevant to high-control trapped-ion quantum computing platforms. It is relevant to reliable logical qubits and improved quantum reliability.

Summary

Topologically ordered phases naturally realize quantum error correction through nonlocal encoding of quantum information.

Abstract

Topologically ordered phases naturally realize quantum error correction through nonlocal encoding of quantum information. More recently, conformal field theories have been shown to realize approximate quantum error-correcting codes, but such constructions generally require fine tuning to criticality. Here we introduce a family of approximate quantum error-correcting codes realized by the chiral ed...

Research context

What it does: Topologically ordered phases naturally realize quantum error correction through nonlocal encoding of quantum information. Why it matters: The work is relevant to high-control trapped-ion quantum computing platforms. It is relevant to reliable logical qubits and improved quantum reliability.

Summary

Syndrome-measurements timing is usually treated as a fixed clock cycle of a quantum error-correcting code.

Abstract

Syndrome-measurements timing is usually treated as a fixed clock cycle of a quantum error-correcting code. For quantum memories, however, the intra-measurement interval is itself an optimizable control parameter: measuring too rarely allows idling errors to accumulate, whereas measuring too often introduces measurement-induced faults. We propose a phenomenological logical-noise model for this trad...

Research context

What it does: Syndrome-measurements timing is usually treated as a fixed clock cycle of a quantum error-correcting code. Why it matters: The work is relevant to high-control trapped-ion quantum computing platforms. It is relevant to reliable logical qubits and improved quantum reliability. It is relevant to computational applications of quantum devices.

Summary

Quantum optimization has attracted growing interest as quantum hardware continues to improve, yet state-of-the-art classical solvers remain a formidable benchmark for practical utility.

Abstract

Quantum optimization has attracted growing interest as quantum hardware continues to improve, yet state-of-the-art classical solvers remain a formidable benchmark for practical utility. Rather than seeking a fully quantum replacement for classical optimization, we propose a hybrid strategy that uses quantum information to enhance leading classical heuristics. Specifically, we introduce a warm-star...

Research context

What it does: Quantum optimization has attracted growing interest as quantum hardware continues to improve, yet state-of-the-art classical solvers remain a formidable benchmark for practical utility. Why it matters: The work is relevant to high-control trapped-ion quantum computing platforms. It is relevant to computational applications of quantum devices.

Summary

We construct explicit error-detecting surgery gadgets---small systems of auxiliary qubits and checks---for the high-rate Iceberg codes $[[2N,2N-2,2]]$, to perform fault-detected measurements of logical Pauli products.

Abstract

We construct explicit error-detecting surgery gadgets---small systems of auxiliary qubits and checks---for the high-rate Iceberg codes $[[2N,2N-2,2]]$, to perform fault-detected measurements of logical Pauli products. The construction follows the perspective of surgery as the gauging of a logical operator, regarded as a symmetry of the code. We give a complete classification of logical Pauli opera...

Research context

What it does: We construct explicit error-detecting surgery gadgets---small systems of auxiliary qubits and checks---for the high-rate Iceberg codes $[[2N,2N-2,2]]$, to perform fault-detected measurements of logical Pauli products. Why it matters: The work is relevant to high-control trapped-ion quantum computing platforms. The work is relevant to atom-array quantum computing and quantum simulation.

Summary

Solving the Vehicle Routing Problem (VRP) in Stochastic Transportation Networks (STNs), a core task in Intelligent Transportation Systems (ITS), introduces estimation challenges for stochastic path travel times and the r...

Abstract

Solving the Vehicle Routing Problem (VRP) in Stochastic Transportation Networks (STNs), a core task in Intelligent Transportation Systems (ITS), introduces estimation challenges for stochastic path travel times and the resulting VRP objective function. These challenges have typically been addressed through computationally expensive sampling-based techniques such as Monte Carlo simulation, whose pe...

Research context

What it does: Solving the Vehicle Routing Problem (VRP) in Stochastic Transportation Networks (STNs), a core task in Intelligent Transportation Systems (ITS), introduces estimation challenges for stochastic path travel times and the r... Why it matters: The work is relevant to high-control trapped-ion quantum computing platforms.

Summary

High-dimensional nuclear spins offer a hardware-efficient route to quantum error correction (QEC), with the spin cat code providing intrinsic robustness against phase errors -- the dominant noise channel in donor-in-sili...

Abstract

High-dimensional nuclear spins offer a hardware-efficient route to quantum error correction (QEC), with the spin cat code providing intrinsic robustness against phase errors -- the dominant noise channel in donor-in-silicon architectures. However, realizing the full potential of this encoding requires gate operations that preserve its error-correcting properties. In this work, we construct a unive...

Research context

What it does: High-dimensional nuclear spins offer a hardware-efficient route to quantum error correction (QEC), with the spin cat code providing intrinsic robustness against phase errors -- the dominant noise channel in donor-in-sili... Why it matters: The work is relevant to high-control trapped-ion quantum computing platforms. It is relevant to reliable logical qubits and improved quantum reliability.