MGT protocols encode the input into a measurement-heralded stabilizer code then apply a logical non-Clifford gate; useful resource states are Clifford-equivalent to diagonal states, and feedforward can often be Pauli.
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Operators evolving under the adjoint Liouvillian in open quantum systems can exhibit a genuine Mpemba effect, with general conditions derived and validated across three setups.
Nonlocal non-Gaussian operations engineer entangled probe states that outperform two-mode squeezed states and local non-Gaussian protocols in signal-to-noise ratio for quantum illumination under photon loss.
Nonlocal magic in fermionic Gaussian states is bounded by the entanglement spectrum of the covariance matrix, is extensive in the Haar ensemble, peaks at criticality in the Kitaev chain, and grows diffusively under random circuits.
A VMBQC model restricted to one extra trainable parameter generates distributions that the corresponding unitary model cannot learn.
VaFES constructs a latent space from reversible collective variables and variationally optimizes a tractable-density generative model to produce a continuous free energy surface from which rare events are directly sampled.
Introduces absolute Schmidt number for states invariant under global unitaries, with witness and moment-based detection methods plus resource measures, extended to covariant channels.
A pre-training diagnostic map based on spectral correlation resemblance to IQP circuits and excess structural complexity identifies suitable datasets like turbulence data for quantum generative models, yielding competitive low-resource performance.
A hybrid classical-quantum scheme compresses and disentangles bottleneck layers of pre-trained neural networks into MPO form for execution on quantum devices, validated via proof-of-concept on MNIST and CIFAR-10 image classification.
The authors introduce MuTA as a universal quantum neural network for MBQC and numerically demonstrate its ability to learn gates, classify quantum states, and process data under noise, including photonic hardware constraints.
Develops a validation framework for quantum spin dynamics simulations anchored by neutron scattering and classical methods, using observable maps, uncertainty propagation, robustness tests, and actuator-aware feedback.
Polarization-frequency coupling in a photonic interferometer simulates controllable single-qubit open dynamics including depolarization and non-Markovian evolution.
Pi-QEM selects dominant low-weight Pauli strings for ML training in quantum error mitigation, reducing ground-state energy estimation error by up to 34.01% using a single observable in molecular simulations on noisy IBM backends.
Bound entangled states enable ancilla-assisted quantum process tomography, though local filtering renders them unfaithful for reliable reconstruction.
For two-qubit entangled states, existence of one pure steered state implies two-way EPR steering via symmetry of tangent points on steering ellipsoids.
Averaged accessible information under Haar-random local measurements is a function of local purity and distinguishes dynamical confinement, ballistic transport, scar revivals, and many-body localization in quantum many-body systems.
Ergotropy in the battery corresponds one-to-one with total nonstabilizerness under U(1)-symmetric charger-battery interactions, while maximum average charging power in Clifford evolution is achievable even with zero initial magic.
A hybrid policy with classical preprocessing and a parameterized quantum circuit learns effective multiqubit disentanglement scheduling from partial two-qubit reduced-state observations, with preprocessing dominating performance and wider circuits outperforming deeper ones.
An STGNN dual-head decoder simultaneously corrects Pauli errors and identifies qubit-loss locations from syndrome histories, outperforming MWPM baselines on simulated surface-code memory.
Dressed states generated by static fields protect Heisenberg scaling in quantum metrology for low-temperature noise precisely when the signal generator lies outside the linear span of the system-environment coupling operators.
A mean-field phase-space method emulates continuous-time dynamics of up to thousands of qubits with quadratic cost, capturing single-qubit observables qualitatively on transverse-field Ising models.
Derives closed-form effective inverse temperatures for qubit thermalization via quantum SWITCH with identical/asymmetric baths and identifies optimal control parameters for enhanced heating/cooling.
A QMC-based framework tests the lattice-Bisognano-Wichmann ansatz for reconstructing entanglement Hamiltonians in 2D systems without Lorentz invariance or translational symmetry, finding good accuracy for ordinary boundaries.
Introduces non-Gaussian control parameters (s0, δ0) and an optimization method that reduces photon detections by a factor of three and increases preparation probability by nearly 10^8 for GKP states, with gains shown across cat, cubic phase, and random states.
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Magic Gate Teleportation: Structure, Useful Resource States, and Simpler Feedforward
MGT protocols encode the input into a measurement-heralded stabilizer code then apply a logical non-Clifford gate; useful resource states are Clifford-equivalent to diagonal states, and feedforward can often be Pauli.
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Quantum Mpemba effect for operators in open systems
Operators evolving under the adjoint Liouvillian in open quantum systems can exhibit a genuine Mpemba effect, with general conditions derived and validated across three setups.
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Optimal Quantum Illumination with Nonlocal Non-Gaussian Operations
Nonlocal non-Gaussian operations engineer entangled probe states that outperform two-mode squeezed states and local non-Gaussian protocols in signal-to-noise ratio for quantum illumination under photon loss.
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Nonlocal nonstabilizerness in free fermion models
Nonlocal magic in fermionic Gaussian states is bounded by the entanglement spectrum of the covariance matrix, is extensive in the Haar ensemble, peaks at criticality in the Kitaev chain, and grows diffusively under random circuits.
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Minimizing classical resources in variational measurement-based quantum computation for generative modeling
A VMBQC model restricted to one extra trainable parameter generates distributions that the corresponding unitary model cannot learn.
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Differentiable free energy surface: a variational approach to directly observing rare events using generative deep-learning models
VaFES constructs a latent space from reversible collective variables and variationally optimizes a tractable-density generative model to produce a continuous free energy surface from which rare events are directly sampled.
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Absolute Schmidt number: characterization, detection and resource-theoretic quantification
Introduces absolute Schmidt number for states invariant under global unitaries, with witness and moment-based detection methods plus resource measures, extended to covariant channels.
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Toward Generative Quantum Utility via Correlation-Complexity Map
A pre-training diagnostic map based on spectral correlation resemblance to IQP circuits and excess structural complexity identifies suitable datasets like turbulence data for quantum generative models, yielding competitive low-resource performance.
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Classical Neural Networks on Quantum Devices via Tensor Network Disentanglers: A Case Study in Image Classification
A hybrid classical-quantum scheme compresses and disentangles bottleneck layers of pre-trained neural networks into MPO form for execution on quantum devices, validated via proof-of-concept on MNIST and CIFAR-10 image classification.
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Measurement-based quantum machine learning
The authors introduce MuTA as a universal quantum neural network for MBQC and numerically demonstrate its ability to learn gates, classify quantum states, and process data under noise, including photonic hardware constraints.
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A Validation Framework for Quantum Simulation of Spin Dynamics against Inelastic Neutron Scattering and Classical Simulation
Develops a validation framework for quantum spin dynamics simulations anchored by neutron scattering and classical methods, using observable maps, uncertainty propagation, robustness tests, and actuator-aware feedback.
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Simulating generic single-qubit open-dynamics via polarization-frequency coupling in a photonic interferometer
Polarization-frequency coupling in a photonic interferometer simulates controllable single-qubit open dynamics including depolarization and non-Markovian evolution.
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Pauli Weight Hamiltonian Term Selection for Optimized Machine Learning Based Quantum Error Mitigation
Pi-QEM selects dominant low-weight Pauli strings for ML training in quantum error mitigation, reducing ground-state energy estimation error by up to 34.01% using a single observable in molecular simulations on noisy IBM backends.
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Ancilla Assisted Quantum Process Tomography using Bound entangled states
Bound entangled states enable ancilla-assisted quantum process tomography, though local filtering renders them unfaithful for reliable reconstruction.
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One pure steered state implies Einstein-Podolsky-Rosen steering
For two-qubit entangled states, existence of one pure steered state implies two-way EPR steering via symmetry of tangent points on steering ellipsoids.
-
Probing Quantum Information Scrambling via Local Randomized Measurements
Averaged accessible information under Haar-random local measurements is a function of local purity and distinguishes dynamical confinement, ballistic transport, scar revivals, and many-body localization in quantum many-body systems.
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Interplay of Nonstabilizerness and Ergotropy in Quantum Batteries
Ergotropy in the battery corresponds one-to-one with total nonstabilizerness under U(1)-symmetric charger-battery interactions, while maximum average charging power in Clifford evolution is achievable even with zero initial magic.
-
Learning quantum disentanglement scheduling from reduced states via modular hybrid policies
A hybrid policy with classical preprocessing and a parameterized quantum circuit learns effective multiqubit disentanglement scheduling from partial two-qubit reduced-state observations, with preprocessing dominating performance and wider circuits outperforming deeper ones.
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AI-Enabled Decoding of Qubit Loss for Quantum Error-Correcting Codes
An STGNN dual-head decoder simultaneously corrects Pauli errors and identifies qubit-loss locations from syndrome histories, outperforming MWPM baselines on simulated surface-code memory.
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Protecting Heisenberg scaling in quantum metrology via engineered dressed states
Dressed states generated by static fields protect Heisenberg scaling in quantum metrology for low-temperature noise precisely when the signal generator lies outside the linear span of the system-environment coupling operators.
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Emulation of large-scale qubit registers with a phase-space approach
A mean-field phase-space method emulates continuous-time dynamics of up to thousands of qubits with quadratic cost, capturing single-qubit observables qualitatively on transverse-field Ising models.
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Optimal Thermalization under Indefinite Causal Order with Identical and Asymmetric Baths
Derives closed-form effective inverse temperatures for qubit thermalization via quantum SWITCH with identical/asymmetric baths and identifies optimal control parameters for enhanced heating/cooling.
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Exploring the limit of the Lattice-Bisognano-Wichmann form describing the Entanglement Hamiltonian: A quantum Monte Carlo study
A QMC-based framework tests the lattice-Bisognano-Wichmann ansatz for reconstructing entanglement Hamiltonians in 2D systems without Lorentz invariance or translational symmetry, finding good accuracy for ordinary boundaries.
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Beyond Stellar Rank: Control Parameters for Scalable Optical Non-Gaussian State Generation
Introduces non-Gaussian control parameters (s0, δ0) and an optimization method that reduces photon detections by a factor of three and increases preparation probability by nearly 10^8 for GKP states, with gains shown across cat, cubic phase, and random states.
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Control Protocols for Entangling Gates for Group-IV Color-Centers in Diamond
Three entangling gate types (ZZ, ZX, YY) for group-IV color centers are analyzed via dynamical decoupling, double-quantum transitions, optimal control, and algebraic decomposition, yielding quantum speed limits and practical protocol comparisons.
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Interference of local-measurement histories
Interference between local measurement histories on two qubits generates entanglement, persisting even after averaging over detector readouts.
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Entanglement Growth from Structured Initial States in Many-Body Localized Systems
In the random-field XXZ model, Wehrl-Rényi entropy growth for z-polarized product states shows non-monotonic dependence on initial entanglement, with the first regime set by local integrals of motion and the second by inter-site correlations.
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Quantum magic of strongly correlated fermions $-$ the Hubbard dimer
Non-stabilizerness in the Hubbard dimer is quantified via robustness of magic and stabilizer Renyi entropy, revealing the latter's failure on mixed states and distinguishing it from non-Gaussianity and superselected entanglement.
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Measurement-induced phase transitions in disordered fermions
Disorder does not alter the presence or absence of measurement-induced phase transitions in noninteracting fermions; the long-time behavior is controlled by the same nonlinear sigma model with renormalized parameters.
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Experimental detection of entanglement in multimode Gaussian states from high-order intensity correlation moments
Experimental detection of entanglement in multimode Gaussian states via high-order intensity correlation moments from parametric down-conversion sources.
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Getting large-scale quantum neural networks ready for quantum hardware
Physics-informed quantum neural networks trained on noisy measurements can construct nontrivial decision boundaries to classify quantum states via order parameters and are suited for NISQ hardware due to links with Markovian open many-body systems.
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Catalytic Enhancement of Coherence in Noisy Quantum Channels and Characterization of Strictly Incoherent Operations
Catalysis can enhance coherence fraction after noisy channels under analyzed conditions, and a nec-and-suff condition is given for incoherent-state-preserving CPTP maps to be Strictly Incoherent Operations.
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Information-Theoretic Analysis of Weak Measurements and Their Reversal
Null-result weak measurements are dynamically characterized for qubits and qutrits using Shannon entropy, mutual information, fidelity, and relative entropy to quantify information extraction amounts, rates, and reversibility.
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Mie-tronics supermodes and symmetry breaking in nonlocal metasurfaces
Symmetry breaking in finite Mie-resonator arrays enhances Q-factors via redistributed radiation channels and enables polarization conversion through strengthened in-plane nonlocal couplings.
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Optimal quantum reservoir learning in proximity to universality
A tunable mixing parameter p in random quantum circuits controls the transition from classically simulable to expressive quantum reservoir dynamics via entanglement and nonstabilizer content.
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Benchmarking Single-Qubit Gates on a Neutral Atom Quantum Processor
DRB and GST benchmarking on neutral-atom single-qubit gates yields 99.963% average fidelity, with consistent results on a 25-qubit array and a new gauge optimization for GST.
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A trace distance-based geometric analysis of the stabilizer polytope for few-qubit systems
Geometric study of non-stabilizerness in few-qubit systems via trace distance to the stabilizer polytope, with state sampling, measure comparisons, an analytical expression, facet classification, and a concentration bound linking it to entanglement.
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Decohered toric code under quantum damping noise and its mapping to a classical spin model
Maps decohered toric code under GAD and SGAD channels to classical spin models and derives logical failure probabilities versus temperature and squeezing.
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Beyond Bell Teleportation: Machine-Learned Adaptive Protocols
Machine learning optimizes adaptive quantum teleportation protocols to achieve higher fidelity than standard Bell-state methods in several noise models.
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Energy-error tradeoff in encoding quantum error correction
Quantum error correction encoding requires energy that scales exponentially with desired precision, varying by code and physical realization.
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Comparing quantum channels using Hermitian-preserving trace-preserving linear maps: A physically meaningful approach
A quantum channel A is physically harder to implement than channel B if A's output statistics allow unique identification of the input state from B's output via some measurement, which is equivalent to obtaining A from B by post-composition with an HPTP map.
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Quantum Key Distribution with Imperfections: Recent Advances in Security Proofs
Overview of recent analytical and numerical developments in QKD security proofs that incorporate imperfections to re-establish security under realistic conditions.
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