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Current-day quantum computing platforms are subject to readout errors, in which faulty measurement outcomes are reported by the device. On circuits with mid-circuit measurements and feedforward, readout noise can cause incorrect conditional quantum operations to be applied on a per-shot basis. Standard readout error mitigation methods for terminal measurements which act in post-processing do not suffice in this context. Here we present a general method for readout error mitigation for expectation values on circuits containing an arbitrary number of layers of mid-circuit measurements and feedforward, at zero circuit depth and two-qubit gate count cost. The protocol uses a form of gate twirling for symmetrization of the error channels and probabilistic bit-flips in feedforward data to average over an ensemble of quantum trajectories. The mitigated estimator is unbiased and has a sampling overhead of 1 / (1 - 2 r) ᵐ for m total measurements and characteristic readout error rate r per measurement. We demonstrate the effectiveness of our method, obtaining up to a 60\% reduction in error on superconducting quantum processors for several examples of feedforward circuits of practical interest, including dynamic qubit resets, shallow-depth GHZ state preparation, and multi-stage quantum state teleportation.
Koh et al. (Tue,) studied this question.