Reduced Sampling Overhead for Probabilistic Error Cancellation by Pauli Error Propagation

Fuente: arXiv
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Main Authors: Scheiber, Timon, Haubenwallner, Paul, Heller, Matthias
Format: Preprint
Published: 2024
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author Scheiber, Timon
Haubenwallner, Paul
Heller, Matthias
author_facet Scheiber, Timon
Haubenwallner, Paul
Heller, Matthias
contents Quantum error mitigation is regarded as a possible path to near-term quantum utility. The methods under the quantum error mitigation umbrella term, such as probabilistic error cancellation (PEC), zero-noise extrapolation (ZNE) or Clifford data regression (CDR) are able to significantly reduce the error for the estimation of expectation values, although at an exponentially scaling cost, i.e., in the sampling overhead. In this work, we present a method to reduce the sampling overhead of PEC through Pauli error propagation combined with classical preprocessing. Our findings indicate that this method significantly reduces sampling overheads for Clifford circuits, leveraging the well-defined interaction between the Clifford group and Pauli noise. Additionally, we show that the method is applicable to non-Clifford circuits, though with more limited effectiveness, primarily constrained by the number of non-Clifford gates present in the circuit. We further provide examples of Clifford sub-circuits commonly encountered in relevant calculations, such as resource state generation in measurement-based quantum computing.
format Preprint
id arxiv_https___arxiv_org_abs_2412_01311
institution arXiv
publishDate 2024
record_format arxiv
spellingShingle Reduced Sampling Overhead for Probabilistic Error Cancellation by Pauli Error Propagation
Scheiber, Timon
Haubenwallner, Paul
Heller, Matthias
Quantum Physics
Quantum error mitigation is regarded as a possible path to near-term quantum utility. The methods under the quantum error mitigation umbrella term, such as probabilistic error cancellation (PEC), zero-noise extrapolation (ZNE) or Clifford data regression (CDR) are able to significantly reduce the error for the estimation of expectation values, although at an exponentially scaling cost, i.e., in the sampling overhead. In this work, we present a method to reduce the sampling overhead of PEC through Pauli error propagation combined with classical preprocessing. Our findings indicate that this method significantly reduces sampling overheads for Clifford circuits, leveraging the well-defined interaction between the Clifford group and Pauli noise. Additionally, we show that the method is applicable to non-Clifford circuits, though with more limited effectiveness, primarily constrained by the number of non-Clifford gates present in the circuit. We further provide examples of Clifford sub-circuits commonly encountered in relevant calculations, such as resource state generation in measurement-based quantum computing.
title Reduced Sampling Overhead for Probabilistic Error Cancellation by Pauli Error Propagation
topic Quantum Physics
url https://arxiv.org/abs/2412.01311