Mid-circuit measurements enable reversal of Pauli cycles in Clifford gates, making previously unidentifiable noise components learnable under a new generalized cycle benchmarking protocol.
The first type of asymmetry is the afore- mentioned zig-zag distribution that appears in panels (a) and (c)
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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.