Zero-noise Extrapolation Assisted with Purity for Quantum Error Mitigation

• URL: http://arxiv.org/abs/2310.10037v3
• Date: Tue, 12 Dec 2023 06:28:07 GMT
• Title: Zero-noise Extrapolation Assisted with Purity for Quantum Error Mitigation
• Authors: Tian-Ren Jin, Yun-Hao Shi, Zheng-An Wang, Tian-Ming Li, Kai Xu, and Heng Fan
• Abstract summary: One method of quantum error mitigation is zero-noise extrapolation. In this paper, we propose that the purity of output states in noisy circuits can assist in the extrapolation process.
• Score: 10.577215927026199
• License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
• Abstract: Quantum error mitigation is a technique used to post-process errors occurring in the quantum system, which reduces the expected errors and achieves higher accuracy. One method of quantum error mitigation is zero-noise extrapolation, which involves amplifying the noise and then extrapolating the observable expectation of interest back to a noise-free point. This method usually relies on the error model of the noise, as error rates for different levels of noise are assumed during the noise amplification process. In this paper, we propose that the purity of output states in noisy circuits can assist in the extrapolation process, eliminating the need for assumptions about error rates. We also introduce the quasi-polynomial model from the linearity of quantum channel for extrapolation of experimental data, which can be reduced to other proposed models. Furthermore, we verify our purity-assisted zero-noise extrapolation by performing numerical simulations and experiments on the online public quantum computation platform, Quafu, to compare it with the routine zero-noise extrapolation and virtual distillation methods. Our results demonstrate that this modified method can suppress the random fluctuation of operator expectation measurement, and effectively reduces the bias in extrapolation to a level lower than both the zero-noise extrapolation and virtual distillation methods, especially when the error rate is moderate.

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