Benchmarking the performance of readout error mitigation through classical bit-flip correction on IBM and Rigetti devices

29 Jul 2021, 07:45
15m
Oral presentation Algorithms (including Machine Learning, Quantum Computing, Tensor Networks) Algorithms (including Machine Learning, Quantum Computing, Tensor Networks)

Speaker

Georgios Polykratis (The Cyprus Institute)

Description

Readout errors are among the most dominant sources of error on current noisy intermediate-scale quantum devices. Recently an efficient, scaleable method for mitigating such errors has been developed. Here, we benchmark this correction protocol on IBM's and Rigetti's quantum devices. Measuring observables in the computational basis, we demonstrate how the mitigation procedure improves the results with only modest overhead cost. In particular, we examine the variances of the noisy original and the mitigated data. Our hardware results show good agreement with the theoretical prediction and that the increase in variance due to the mitigation procedure is only moderate.

Primary authors

Constantia Alexandrou Georgios Polykratis (The Cyprus Institute) Giovanni Iannelli (Deutsches Elektronen-Synchrotron DESY) Karl Jansen (DESY) Lena Funcke (Perimeter Institute) Paolo Stornati (DESY) Dr Stefan Kühn Tobias Hartung (University of Bath and The Cyprus Institute) Tom Weber (Universität Hamburg (UHH)) Xiaoyang Wang (Peking University)

Presentation materials