Integrating amplitude estimation into QNN readout achieves O(1/N) estimation error with one shot instead of the usual O(1/sqrt(N)) Monte Carlo scaling.
Qubit readout error mitigation with bit-flip averaging
3 Pith papers cite this work, alongside 51 external citations. Polarity classification is still indexing.
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quant-ph 3years
2026 3verdicts
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MCMit proposes a constant-latency multi-control branch instruction, transformer and CNN discriminators, plus static MCM elimination and stochastic branching, evaluated on Qubic with QPU traces to cut latency by 70% and logical error rates by up to 9.4x.
A branch-resolved framework for characterizing feed-forward error in dynamic teleportation via classical Choi shadows is introduced, experimentally validated on two qubit layouts, and shown to reveal mitigation behaviors hidden by outcome averaging.
citing papers explorer
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Single-shot quantum neural networks with amplitude estimation
Integrating amplitude estimation into QNN readout achieves O(1/N) estimation error with one shot instead of the usual O(1/sqrt(N)) Monte Carlo scaling.
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MCMit: Mid-Circuit Measurement Error Mitigation
MCMit proposes a constant-latency multi-control branch instruction, transformer and CNN discriminators, plus static MCM elimination and stochastic branching, evaluated on Qubic with QPU traces to cut latency by 70% and logical error rates by up to 9.4x.
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Branch-Resolved Characterization of Feed-Forward Error in Dynamic Teleportation via Classical Choi Shadows
A branch-resolved framework for characterizing feed-forward error in dynamic teleportation via classical Choi shadows is introduced, experimentally validated on two qubit layouts, and shown to reveal mitigation behaviors hidden by outcome averaging.