Peaked quantum circuits claimed to show quantum advantage can be classically simulated in one hour on a GPU via mirrored MPO contraction and unswapping.
Heuristic quantum advantage with peaked circuits,
5 Pith papers cite this work. Polarity classification is still indexing.
5
Pith papers citing it
years
2026 5representative citing papers
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 noise model for trapped-ion multi-qubit gates shows that dominant error channels remain compatible with scalable rotated-surface-code quantum error correction when realistic experimental parameters are used.
A vectorized sparse truncated state-vector simulator (CPU/GPU) recovers the mode of certain peaked quantum circuits by retaining far fewer than 2^n amplitudes via top-k or probability-mass truncation.
Peaked random circuits can serve as a high-precision system-level fidelity benchmark for NISQ devices, comparable to quantum volume but with greater sensitivity to interference effects.
citing papers explorer
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Efficient Classical Simulation of Heuristic Peaked Quantum Circuits
Peaked quantum circuits claimed to show quantum advantage can be classically simulated in one hour on a GPU via mirrored MPO contraction and unswapping.
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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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Trapped-Ion Multiqubit Gates are Compatible with Scalable Quantum Error Correction
A noise model for trapped-ion multi-qubit gates shows that dominant error channels remain compatible with scalable rotated-surface-code quantum error correction when realistic experimental parameters are used.
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A Sparse and Truncated State Vector Simulator for Peaked Circuits
A vectorized sparse truncated state-vector simulator (CPU/GPU) recovers the mode of certain peaked quantum circuits by retaining far fewer than 2^n amplitudes via top-k or probability-mass truncation.
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Evaluating System-Level Fidelity with Peaked Random Circuits
Peaked random circuits can serve as a high-precision system-level fidelity benchmark for NISQ devices, comparable to quantum volume but with greater sensitivity to interference effects.