Article

Symmetry-Aware Independent Bit-Flip: Identifiability-Guided Distribution Learning for Quantum Noise Simulation

2026-05-19

Abstract excerpt

<title>Abstract</title> <p>Quantum and hybrid quantum-classical workflows repeatedly need to predict how ideal circuit distributions appear as finite-shot noisy hardware histograms, but refitting high-dimensional noise simulators at each calibration point can be costly. We cast this task as finite-shot distribution learning for structured quantum outputs: given ideal distributions and noisy counts, learn a low-di...

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Literature Corpus work: c84d85a6-a1b2-505f-aaea-2c2e8b7563da
DOI: 10.21203/rs.3.rs-9740811/v1

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