Assumption-free fidelity bounds for hardware noise characterization

Fuente: arXiv
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Autor principal: Colombo, Nicolo
Formato: Preprint
Publicado: 2025
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author Colombo, Nicolo
author_facet Colombo, Nicolo
contents In the Quantum Supremacy regime, quantum computers may overcome classical machines on several tasks if we can estimate, mitigate, or correct unavoidable hardware noise. Estimating the error requires classical simulations, which become unfeasible in the Quantum Supremacy regime. We leverage Machine Learning data-driven approaches and Conformal Prediction, a Machine Learning uncertainty quantification tool known for its mild assumptions and finite-sample validity, to find theoretically valid upper bounds of the fidelity between noiseless and noisy outputs of quantum devices. Under reasonable extrapolation assumptions, the proposed scheme applies to any Quantum Computing hardware, does not require modeling the device's noise sources, and can be used when classical simulations are unavailable, e.g. in the Quantum Supremacy regime.
format Preprint
id arxiv_https___arxiv_org_abs_2504_07010
institution arXiv
publishDate 2025
record_format arxiv
spellingShingle Assumption-free fidelity bounds for hardware noise characterization
Colombo, Nicolo
Quantum Physics
Machine Learning
In the Quantum Supremacy regime, quantum computers may overcome classical machines on several tasks if we can estimate, mitigate, or correct unavoidable hardware noise. Estimating the error requires classical simulations, which become unfeasible in the Quantum Supremacy regime. We leverage Machine Learning data-driven approaches and Conformal Prediction, a Machine Learning uncertainty quantification tool known for its mild assumptions and finite-sample validity, to find theoretically valid upper bounds of the fidelity between noiseless and noisy outputs of quantum devices. Under reasonable extrapolation assumptions, the proposed scheme applies to any Quantum Computing hardware, does not require modeling the device's noise sources, and can be used when classical simulations are unavailable, e.g. in the Quantum Supremacy regime.
title Assumption-free fidelity bounds for hardware noise characterization
topic Quantum Physics
Machine Learning
url https://arxiv.org/abs/2504.07010