Coherent-state propagation enables quasi-polynomial classical simulation of bosonic circuits with logarithmically many Kerr gates at exponentially small trace-distance error, with polynomial runtime in the weak-nonlinearity regime.
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Lindbladian perturbation theory reveals approximate symmetries on Pauli fidelities for Clifford gates, with only restricted off-diagonal dissipative errors breaking them at first order, enabling gauge fixing for SPAM identification.
Mid-circuit measurements enable reversal of Pauli cycles in Clifford gates, making previously unidentifiable noise components learnable under a new generalized cycle benchmarking protocol.
A mixed Dicke state ansatz is introduced that encodes Hamming weight equality and inequality constraints directly into the VQE circuit to preserve feasibility without penalty terms.
MLE for 1D-local sparse Pauli-Lindblad channels reduces to an efficient Bayesian network computation, yielding improved tomography.
Circuit balancing estimates circuit-wide depolarization in unitary k-designs and Pauli twirling mitigates it to reduce average infidelity without two-qubit gate overhead.
A hybrid method uses fixed quantum annealing states as boundary resources for classical MERA tensor networks to improve ground-state approximations without deeper quantum circuits.
RandomMeas.jl is a modular Julia package implementing randomized measurement protocols and classical shadow estimators for quantum computing applications.
VQE with Dicke state ansatz encodes diversification constraints for multiclass portfolio optimization and outperforms other optimizers when paired with CMA-ES on convergence and approximation metrics.
QESEM is a characterization-based error mitigation technique that achieves unbiased estimates with substantially reduced runtime cost compared to probabilistic error cancellation while outperforming zero-noise extrapolation on utility-scale circuits.
SNT merges SV and PEC for subspace-tailored error mitigation in Trotterized FHM simulations, mapping out optimal combinations by hardware quality and shot budget while quantifying when noisy devices could surpass classical methods.
Hybrid framework combines Pauli propagation with noise-canceling channels to compute observables more accurately on quantum hardware with lower classical and quantum resource costs.
A synthesis of expert insights from the ADAC Quantum Computing Working Group and member survey on the complementary roles of quantum and classical high-performance computing in future hybrid infrastructures.
Review summarizing how dual-unitary circuits provide exact solvability for quantum many-body dynamics through space-time duality.
citing papers explorer
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Coherent-State Propagation: A Computational Framework for Simulating Bosonic Quantum Systems
Coherent-state propagation enables quasi-polynomial classical simulation of bosonic circuits with logarithmically many Kerr gates at exponentially small trace-distance error, with polynomial runtime in the weak-nonlinearity regime.
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Symmetries of Pauli Noise from Lindbladian Dynamics
Lindbladian perturbation theory reveals approximate symmetries on Pauli fidelities for Clifford gates, with only restricted off-diagonal dissipative errors breaking them at first order, enabling gauge fixing for SPAM identification.
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Characterization of Unlearnable Noise with Mid-Circuit-Measurement-Based Cycle Benchmarking
Mid-circuit measurements enable reversal of Pauli cycles in Clifford gates, making previously unidentifiable noise components learnable under a new generalized cycle benchmarking protocol.
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Pure and mixed Dicke state ansatz for equality and inequality constraints in variational quantum eigensolver
A mixed Dicke state ansatz is introduced that encodes Hamming weight equality and inequality constraints directly into the VQE circuit to preserve feasibility without penalty terms.
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Better Pauli Channel Learning with Maximum Likelihood Estimation
MLE for 1D-local sparse Pauli-Lindblad channels reduces to an efficient Bayesian network computation, yielding improved tomography.
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Efficient Quantum Error Mitigation for Unitary k-Designs
Circuit balancing estimates circuit-wide depolarization in unitary k-designs and Pauli twirling mitigates it to reduce average infidelity without two-qubit gate overhead.
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Combining non-parametric quantum states and MERA tensor networks for ground-state optimization
A hybrid method uses fixed quantum annealing states as boundary resources for classical MERA tensor networks to improve ground-state approximations without deeper quantum circuits.
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RandomMeas.jl: A Julia Package for Randomized Measurements in Quantum Devices
RandomMeas.jl is a modular Julia package implementing randomized measurement protocols and classical shadow estimators for quantum computing applications.
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Multiclass Portfolio Optimization via Variational Quantum Eigensolver with Dicke State Ansatz
VQE with Dicke state ansatz encodes diversification constraints for multiclass portfolio optimization and outperforms other optimizers when paired with CMA-ES on convergence and approximation metrics.
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Reliable high-accuracy error mitigation for utility-scale quantum circuits
QESEM is a characterization-based error mitigation technique that achieves unbiased estimates with substantially reduced runtime cost compared to probabilistic error cancellation while outperforming zero-noise extrapolation on utility-scale circuits.
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Near-Term Fermionic Simulation with Subspace Noise Tailored Quantum Error Mitigation
SNT merges SV and PEC for subspace-tailored error mitigation in Trotterized FHM simulations, mapping out optimal combinations by hardware quality and shot budget while quantifying when noisy devices could surpass classical methods.
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Computing noise-canceling observables via Pauli propagation
Hybrid framework combines Pauli propagation with noise-canceling channels to compute observables more accurately on quantum hardware with lower classical and quantum resource costs.
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The Role of Quantum Computing in Advancing Scientific High-Performance Computing: A perspective from the ADAC Institute
A synthesis of expert insights from the ADAC Quantum Computing Working Group and member survey on the complementary roles of quantum and classical high-performance computing in future hybrid infrastructures.
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Exactly solvable many-body dynamics from space-time duality
Review summarizing how dual-unitary circuits provide exact solvability for quantum many-body dynamics through space-time duality.