Superposed Quantum Error Mitigation

Fuente: arXiv
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Auteurs principaux: Miguel-Ramiro, Jorge, Shi, Zheng, Dellantonio, Luca, Chan, Albie, Muschik, Christine A., Dür, Wolfgang
Format: Preprint
Publié: 2023
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author Miguel-Ramiro, Jorge
Shi, Zheng
Dellantonio, Luca
Chan, Albie
Muschik, Christine A.
Dür, Wolfgang
author_facet Miguel-Ramiro, Jorge
Shi, Zheng
Dellantonio, Luca
Chan, Albie
Muschik, Christine A.
Dür, Wolfgang
contents Overcoming the influence of noise and imperfections is a major challenge in quantum computing. Here, we present an approach based on applying a desired unitary computation in superposition between the system of interest and some auxiliary states. We demonstrate, numerically and on the IBM Quantum Platform, that parallel applications of the same operation lead to significant noise mitigation when arbitrary noise processes are considered. We first design probabilistic implementations of our scheme that are plug and play, independent of the noise characteristic and require no postprocessing. We then enhance the success probability (up to deterministic) using adaptive corrections. We provide an analysis of our protocol performance and demonstrate that unit fidelity can be achieved asymptotically. Our approaches are suitable to both standard gate-based and measurement-based computational models.
format Preprint
id arxiv_https___arxiv_org_abs_2304_08528
institution arXiv
publishDate 2023
record_format arxiv
spellingShingle Superposed Quantum Error Mitigation
Miguel-Ramiro, Jorge
Shi, Zheng
Dellantonio, Luca
Chan, Albie
Muschik, Christine A.
Dür, Wolfgang
Quantum Physics
Overcoming the influence of noise and imperfections is a major challenge in quantum computing. Here, we present an approach based on applying a desired unitary computation in superposition between the system of interest and some auxiliary states. We demonstrate, numerically and on the IBM Quantum Platform, that parallel applications of the same operation lead to significant noise mitigation when arbitrary noise processes are considered. We first design probabilistic implementations of our scheme that are plug and play, independent of the noise characteristic and require no postprocessing. We then enhance the success probability (up to deterministic) using adaptive corrections. We provide an analysis of our protocol performance and demonstrate that unit fidelity can be achieved asymptotically. Our approaches are suitable to both standard gate-based and measurement-based computational models.
title Superposed Quantum Error Mitigation
topic Quantum Physics
url https://arxiv.org/abs/2304.08528