Qubit Readout Error Mitigation with Bit-flip Averaging

TL;DR

This paper introduces a new qubit readout error mitigation scheme that reduces calibration measurements exponentially with the number of qubits, improving efficiency and compatibility with other methods.

Contribution

The authors propose a bit-flip averaging scheme that significantly decreases calibration overhead and handles correlated errors effectively in quantum readout.

Findings

Achieves a factor of 2^n reduction in calibration measurements for n-qubits.

Removes biases in readout errors, enabling simpler error modeling.

Compatible with other mitigation techniques for large-scale quantum devices.

Abstract

Quantum computers are becoming increasingly accessible, and may soon outperform classical computers for useful tasks. However, qubit readout errors remain a significant hurdle to running quantum algorithms on current devices. We present a scheme to more efficiently mitigate these errors on quantum hardware and numerically show that our method consistently gives advantage over previous mitigation schemes. Our scheme removes biases in the readout errors allowing a general error model to be built with far fewer calibration measurements. Specifically, for reading out $n$-qubits we show a factor of $2^n$ reduction in the number of calibration measurements without sacrificing the ability to compensate for correlated errors. Our approach can be combined with, and simplify, other mitigation methods allowing tractable mitigation even for large numbers of qubits.