Certain bound entangled states enable ancilla-assisted quantum process tomography, though local filtering renders them unfaithful, with efficiency bounds compared to Werner and isotropic states.
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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.
Non-stabilizerness of the Hubbard dimer is computed with robustness of magic and stabilizer Rényi entropy, revealing it as a resource distinct from fermionic non-Gaussianity and superselected entanglement.
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 no-cloning-style bound proves that observable exterior quantum hair on semiclassical black holes is incompatible with exact horizon smoothness unless the infalling state is pre-entangled.
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.
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.
Interference between local measurement histories on two qubits generates entanglement, persisting even after averaging over detector readouts.
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.
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.
Experimental detection of entanglement in multimode Gaussian states via high-order intensity correlation moments from parametric down-conversion sources.
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Ancilla Assisted Quantum Process Tomography using Bound entangled states
Certain bound entangled states enable ancilla-assisted quantum process tomography, though local filtering renders them unfaithful, with efficiency bounds compared to Werner and isotropic states.
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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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Quantum magic of strongly correlated fermions $-$ the Hubbard dimer
Non-stabilizerness of the Hubbard dimer is computed with robustness of magic and stabilizer Rényi entropy, revealing it as a resource distinct from fermionic non-Gaussianity and superselected entanglement.
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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.
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A No-Cloning Trade-off Between Black Hole No-Hair and Horizon Smoothness
A no-cloning-style bound proves that observable exterior quantum hair on semiclassical black holes is incompatible with exact horizon smoothness unless the infalling state is pre-entangled.
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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.
-
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.
-
Interference of local-measurement histories
Interference between local measurement histories on two qubits generates entanglement, persisting even after averaging over detector readouts.
-
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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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
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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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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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