Related papers: Quantum computer error structure probed by quantum error correction syndrome measurements

Quantum computer error structure probed by quantum error correction syndrome measurements

URL: http://arxiv.org/abs/2310.12448v2
Date: Mon, 25 Mar 2024 00:45:07 GMT
Title: Quantum computer error structure probed by quantum error correction syndrome measurements
Authors: Spiro Gicev, Lloyd C. L. Hollenberg, Muhammad Usman,
Abstract summary: We have assessed the performance of IBM superconducting quantum computer devices implementing heavy-hexagon code syndrome measurements. Data from 16 repeated syndrome measurement cycles was found to be inconsistent with a uniform depolarizing noise model. Results highlight the non-trivial structure which may be present in the noise of quantum error correction circuits.
Score: 0.6435156676256051
License: http://creativecommons.org/licenses/by/4.0/
Abstract: With quantum devices rapidly approaching qualities and scales needed for fault tolerance, the validity of simplified error models underpinning the study of quantum error correction needs to be experimentally evaluated. In this work, we have assessed the performance of IBM superconducting quantum computer devices implementing heavy-hexagon code syndrome measurements with increasing circuit sizes up to 23 qubits, against the error assumptions underpinning code threshold calculations. Circuit operator change rate statistics in the presence of depolarizing and biased noise were modelled using analytic functions of error model parameters. Data from 16 repeated syndrome measurement cycles was found to be inconsistent with a uniform depolarizing noise model, favouring instead biased and inhomogeneous noise models. Spatial-temporal correlations investigated via $Z$ stabilizer measurements revealed significant temporal correlation in detection events. These results highlight the non-trivial structure which may be present in the noise of quantum error correction circuits, revealed by operator measurement statistics, and support the development of noise-tailored codes and decoders to adapt.

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