Experimental observation of average SPT phase in disordered Rydberg atom array at half-filling, supported by atom-atom correlations and slower edge spin decay in quench dynamics.
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Preskill, Quantum computing in the nisq era and be- yond, Quantum2, 79 (2018)
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A hybrid feedback algorithm combining imaginary-time evolution and time-rescaling prepares the TFD ground state of the Maldacena-Qi model with near-unit fidelity.
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.
Krylov complexity remains nonsingular at SWSSB crossovers but shows a singular area-to-volume-law transition at genuine mixed-state SWSSB phase transitions in dephasing channels.
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.
A reverse third-quantization mapping sends Fermi-Hubbard ground states to dissipative Majorana steady states where individual Gaussian trajectories are polynomial but the non-Markovian sign problem restores exponential total cost.
Mutual information between non-contractible regions on the torus fully classifies long-range nonstabilizerness for toric-code states but leaves a finite subset undetected in the doubled-Fibonacci string-net model.
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.
A single-ancilla Power-Cosine QSP filter on time-evolution operators achieves deterministic many-body ground state preparation with exponential excited-state suppression and O(Δ^{-2} log(1/ε)) depth scaling.
HAVQDS achieves higher approximation ratios on 6-14 qubit SK instances than adiabatic or CD methods while cutting CNOT counts by 1-2 orders of magnitude.
Quantum versus classical modeling of pure dephasing in Deutsch's algorithm produces identical single-run outcomes but stark differences on repeated runs, reproduced on IBM processors and showing complex behavior in NV centers.
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.
A trapezoidal preparation method combined with probability distribution analysis is used to pick efficient guiding states for CVQE, demonstrated on the H2 + H2+ to H3+ + H reaction.
Brillouin-Wigner perturbation theory plus Hartree-Fock mean-field approximation upgrades quasiparticle nuclear Hamiltonians, yielding <0.2% and ~2% ground-state energy errors versus exact shell-model results in the sd shell while preserving qubit efficiency.
DDQN reinforcement learning automates VITE circuit design, producing circuits with ~37% fewer gates and ~43% less depth than hardware-efficient ansatze for Max-Cut while reaching Full-CI for H2 with shallower depth.
Angle encoding in hybrid quantum logistic regression yields the strongest performance among quantum variants, matching classical baselines in discrimination and achieving the lowest calibration error on pulsar candidate data.
Uniform sampling cancels alternating signal contributions, and biasing the prepared state reduces that cancellation; but for the diagonal observables demonstrated, the estimator is classical importance sampling, not a new quantum tool.
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Observation of average topological phase in disordered Rydberg atom array
Experimental observation of average SPT phase in disordered Rydberg atom array at half-filling, supported by atom-atom correlations and slower edge spin decay in quench dynamics.
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Preparing a Thermofield Double State with Feedback Quantum Algorithms
A hybrid feedback algorithm combining imaginary-time evolution and time-rescaling prepares the TFD ground state of the Maldacena-Qi model with near-unit fidelity.
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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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Krylov Complexity and Mixed-State Phase Transition
Krylov complexity remains nonsingular at SWSSB crossovers but shows a singular area-to-volume-law transition at genuine mixed-state SWSSB phase transitions in dephasing channels.
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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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Calculating strongly correlated ground states from the non-Markovian dissipative dynamics of Gaussian fermions
A reverse third-quantization mapping sends Fermi-Hubbard ground states to dissipative Majorana steady states where individual Gaussian trajectories are polynomial but the non-Markovian sign problem restores exponential total cost.
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Long-range nonstabilizerness of topologically encoded states from mutual information
Mutual information between non-contractible regions on the torus fully classifies long-range nonstabilizerness for toric-code states but leaves a finite subset undetected in the doubled-Fibonacci string-net model.
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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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Deterministic Ground State Preparation via Power-Cosine Filtering of Time Evolution Operators
A single-ancilla Power-Cosine QSP filter on time-evolution operators achieves deterministic many-body ground state preparation with exponential excited-state suppression and O(Δ^{-2} log(1/ε)) depth scaling.
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Hybrid Real-Imaginary Time Evolution for Low-Depth Hamiltonian Simulation in Quantum Optimization
HAVQDS achieves higher approximation ratios on 6-14 qubit SK instances than adiabatic or CD methods while cutting CNOT counts by 1-2 orders of magnitude.
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Signatures of quantum noise in the operation of Deutsch's algorithm
Quantum versus classical modeling of pure dephasing in Deutsch's algorithm produces identical single-run outcomes but stark differences on repeated runs, reproduced on IBM processors and showing complex behavior in NV centers.
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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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Probability Distribution Analysis of the Cascaded Variational Quantum Eigensolver
A trapezoidal preparation method combined with probability distribution analysis is used to pick efficient guiding states for CVQE, demonstrated on the H2 + H2+ to H3+ + H reaction.
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Improved quasiparticle nuclear Hamiltonians for quantum computing
Brillouin-Wigner perturbation theory plus Hartree-Fock mean-field approximation upgrades quasiparticle nuclear Hamiltonians, yielding <0.2% and ~2% ground-state energy errors versus exact shell-model results in the sd shell while preserving qubit efficiency.
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Investigation of Automated Design of Quantum Circuits for Imaginary Time Evolution Methods Using Deep Reinforcement Learning
DDQN reinforcement learning automates VITE circuit design, producing circuits with ~37% fewer gates and ~43% less depth than hardware-efficient ansatze for Max-Cut while reaching Full-CI for H2 with shallower depth.
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Hybrid Quantum-Classical Logistic Regression for Calibrated Classification of Pulsar Candidates
Angle encoding in hybrid quantum logistic regression yields the strongest performance among quantum variants, matching classical baselines in discrimination and achieving the lowest calibration error on pulsar candidate data.
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Ensemble Engineering to Overcome Destructive Cancellation in Quantum Measurements
Uniform sampling cancels alternating signal contributions, and biasing the prepared state reduces that cancellation; but for the diagonal observables demonstrated, the estimator is classical importance sampling, not a new quantum tool.