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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3 Pith papers cite this work, alongside 1 external citations. Polarity classification is still indexing.
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quant-ph 3years
2026 3verdicts
UNVERDICTED 3representative citing papers
Protocol learns single-qubit Z-twirled MCM instrument parameters from three repeated measurements on mixed input, yielding ~100x better Pauli-observable prediction than confusion-matrix models on IBM processors.
Quantum instrument errors are represented by outcome-specific d²×d² superoperators, but the joint quantum-classical nature requires careful interpretation beyond standard process matrices.
citing papers explorer
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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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Learning Mid-circuit Measurement Backaction from Three Repeated Measurements
Protocol learns single-qubit Z-twirled MCM instrument parameters from three repeated measurements on mixed input, yielding ~100x better Pauli-observable prediction than confusion-matrix models on IBM processors.
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Understanding Quantum Instruments
Quantum instrument errors are represented by outcome-specific d²×d² superoperators, but the joint quantum-classical nature requires careful interpretation beyond standard process matrices.