Noise-Agnostic Unbiased Quantum Error Mitigation for Logical Qubits

Fuente: arXiv
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Main Authors: Xie, Haipeng, Yoshioka, Nobuyuki, Tsubouchi, Kento, Li, Ying
Format: Preprint
Published: 2025
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author Xie, Haipeng
Yoshioka, Nobuyuki
Tsubouchi, Kento
Li, Ying
author_facet Xie, Haipeng
Yoshioka, Nobuyuki
Tsubouchi, Kento
Li, Ying
contents Probabilistic error cancellation is a quantum error mitigation technique capable of producing unbiased computation results but requires an accurate error model. Constructing this model involves estimating a set of parameters, which, in the worst case, may scale exponentially with the number of qubits. In this paper, we introduce a method called spacetime noise inversion, revealing that unbiased quantum error mitigation can be achieved with just a single accurately measured error parameter and a sampler of Pauli errors. The error sampler can be efficiently implemented in conjunction with quantum error correction. We provide rigorous analyses of bias and cost, showing that the cost of measuring the parameter and sampling errors is low -- comparable to the cost of the computation itself. Moreover, our method is robust to the fluctuation of error parameters, a limitation of unbiased quantum error mitigation in practice. These findings highlight the potential of integrating quantum error mitigation with error correction as a promising approach to suppress computational errors in the early fault-tolerant era.
format Preprint
id arxiv_https___arxiv_org_abs_2504_12864
institution arXiv
publishDate 2025
record_format arxiv
spellingShingle Noise-Agnostic Unbiased Quantum Error Mitigation for Logical Qubits
Xie, Haipeng
Yoshioka, Nobuyuki
Tsubouchi, Kento
Li, Ying
Quantum Physics
Probabilistic error cancellation is a quantum error mitigation technique capable of producing unbiased computation results but requires an accurate error model. Constructing this model involves estimating a set of parameters, which, in the worst case, may scale exponentially with the number of qubits. In this paper, we introduce a method called spacetime noise inversion, revealing that unbiased quantum error mitigation can be achieved with just a single accurately measured error parameter and a sampler of Pauli errors. The error sampler can be efficiently implemented in conjunction with quantum error correction. We provide rigorous analyses of bias and cost, showing that the cost of measuring the parameter and sampling errors is low -- comparable to the cost of the computation itself. Moreover, our method is robust to the fluctuation of error parameters, a limitation of unbiased quantum error mitigation in practice. These findings highlight the potential of integrating quantum error mitigation with error correction as a promising approach to suppress computational errors in the early fault-tolerant era.
title Noise-Agnostic Unbiased Quantum Error Mitigation for Logical Qubits
topic Quantum Physics
url https://arxiv.org/abs/2504.12864