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Trapped Ion Quantum Computing Quantum Simulation Quantum Chemistry

Algorithmic Error Mitigation Scheme for Current Quantum Processors

arXiv

Authors: Philippe Suchsland, Francesco Tacchino, Mark H. Fischer, Titus Neupert, Panagiotis Kl. Barkoutsos, Ivano Tavernelli

Year

2020

Paper ID

21228

Status

Preprint

Abstract Read

~2 min

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Abstract

We present a hardware agnostic error mitigation algorithm for near term quantum processors inspired by the classical Lanczos method. This technique can reduce the impact of different sources of noise at the sole cost of an increase in the number of measurements to be performed on the target quantum circuit, without additional experimental overhead. We demonstrate through numerical simulations and experiments on IBM Quantum hardware that the proposed scheme significantly increases the accuracy of cost functions evaluations within the framework of variational quantum algorithms, thus leading to improved ground-state calculations for quantum chemistry and physics problems beyond state-of-the-art results.

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This paper contributes to the Quantum Simulation research area in the Quantum Articles archive.
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We present a hardware agnostic error mitigation algorithm for near term quantum processors inspired by the classical Lanczos method.

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References & Citation Signals

[1] DOI https://doi.org/arXiv:2008.10914 [2] arXiv https://arxiv.org/abs/2008.10914 [3] Publisher https://arxiv.org/abs/2008.10914

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