A Bayesian Approach for Characterizing and Mitigating Gate and Measurement Errors

Various noise models have been developed in quantum computing study to describe the propagation and effect of the noise that is caused by imperfect implementation of hardware. Identifying parameters such as gate and readout error rates is critical to these models. We use a Bayesian inference approac...

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Bibliographic Details
Published in:	ACM transactions on quantum computing (Print) 2023-02, Vol.4 (2), p.1-21, Article 11
Main Authors:	Zheng, Muqing, Li, Ang, Terlaky, Tamás, Yang, Xiu
Format:	Article
Language:	eng
Subjects:	Bayesian computation Bayesian statistics error mitigation gate error Hardware MATHEMATICS AND COMPUTING Mathematics of computing measurement error Quantum error correction and fault tolerance
Online Access:	Get full text
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Summary:	Various noise models have been developed in quantum computing study to describe the propagation and effect of the noise that is caused by imperfect implementation of hardware. Identifying parameters such as gate and readout error rates is critical to these models. We use a Bayesian inference approach to identify posterior distributions of these parameters such that they can be characterized more elaborately. By characterizing the device errors in this way, we can further improve the accuracy of quantum error mitigation. Experiments conducted on IBM’s quantum computing devices suggest that our approach provides better error mitigation performance than existing techniques used by the vendor. Also, our approach outperforms the standard Bayesian inference method in some scenarios.
ISSN:	2643-6809 2643-6817