Readout Rebalancing for Near Term Quantum Computers

TL;DR

This paper introduces a method called readout rebalancing that applies targeted X gates before measurement to reduce readout errors in near-term quantum computers, improving statistical accuracy especially for states with many excited qubits.

Contribution

The paper proposes a novel readout error mitigation technique using targeted X gates and classical post-processing, enhancing measurement fidelity in quantum computing.

Findings

Reduced statistical uncertainty after readout correction.

Effective for states with many excited qubits.

Demonstrated on W state, Grover search, Gaussian state.

Abstract

Readout errors are a significant source of noise for near term intermediate scale quantum computers. Mismeasuring a qubit as a 1 when it should be 0 occurs much less often than mismeasuring a qubit as a 0 when it should have been 1. We make the simple observation that one can improve the readout fidelity of quantum computers by applying targeted X gates prior to performing a measurement. These X gates are placed so that the expected number of qubits in the 1 state is minimized. Classical post processing can undo the effect of the X gates so that the expectation value of any observable is unchanged. We show that the statistical uncertainty following readout error corrections is smaller when using readout rebalancing. The statistical advantage is circuit- and computer-dependent, and is demonstrated for the $W$ state, a Grover search, and for a Gaussian state. The benefit in statistical precision is most pronounced (and nearly a factor of two in some cases) when states with many qubits in the excited state have high probability.