APS March Meeting 2022
Conference paper

Experimental Bayesian estimation of quantum state preparation, measurement, and gate errors in multi-qubit devices

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We introduce a Bayesian method for the estimation of single qubit errors in quantum devices, and use it to characterize these errors on two devices with 27 superconducting qubits. We self-consistently estimate up to seven parameters of each qubit's state preparation, readout, and gate errors, analyze the stability of these errors as a function of time,and demonstrate easily implemented approaches for mitigating different errors before a quantum computation experiment. On the investigated devices we find non-negligible qubit reset errors that cannot be parametrized as a diagonal mixed state, but manifest as a coherent phase of a superposition with a small contribution from the qubit's excited state, which we are able to mitigate by applying pre-rotations on the initialized qubits. Our results demonstrate that Bayesian estimation can resolve small parameters, including those pertaining to quantum gate errors, with a high relative accuracy, at a lower measurement cost as compared with standard characterization approaches.