Self-consistent tomography of temporally correlated errors

TL;DR

This paper introduces self-consistent tomography protocols to accurately model temporally correlated errors in quantum computers, addressing a gap in existing methods and improving error characterization for better quantum error correction.

Contribution

The paper presents novel tomography protocols specifically designed to efficiently characterize temporally correlated errors in quantum devices, a previously unaddressed challenge.

Findings

Protocols effectively model low-frequency noise

Protocols handle context-dependent noise

Improved error models for quantum error correction

Abstract

The error model of a quantum computer is essential for optimizing quantum algorithms to minimize the impact of errors using quantum error correction or error mitigation. Noise with temporal correlations, e.g. low-frequency noise and context-dependent noise, is common in quantum computation devices and sometimes even significant. However, conventional tomography methods have not been developed for obtaining an error model describing temporal correlations. In this paper, we propose self-consistent tomography protocols to obtain a model of temporally correlated errors, and we demonstrate that our protocols are efficient for low-frequency noise and context-dependent noise.