Easy better quantum process tomography

Fuente: arXiv
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Auteurs principaux: Blume-Kohout, Robin, Rudinger, Kenneth, Proctor, Timothy
Format: Preprint
Publié: 2024
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author Blume-Kohout, Robin
Rudinger, Kenneth
Proctor, Timothy
author_facet Blume-Kohout, Robin
Rudinger, Kenneth
Proctor, Timothy
contents Quantum process tomography (QPT), used to estimate the linear map that best describes a quantum operation, is usually performed using a priori assumptions about state preparation and measurement (SPAM), which yield a biased and inconsistent estimator. This estimate can be made more accurate and less biased by incorporating SPAM-calibration data. Unobservable properties of the SPAM operations introduce a small gauge freedom that can be regularized using the a priori SPAM. We give an explicit correction procedure for standard linear-inversion QPT and overcomplete linear-inversion QPT, and describe how to extend it to statistically principled estimators like maximum likelihood estimation.
format Preprint
id arxiv_https___arxiv_org_abs_2412_16293
institution arXiv
publishDate 2024
record_format arxiv
spellingShingle Easy better quantum process tomography
Blume-Kohout, Robin
Rudinger, Kenneth
Proctor, Timothy
Quantum Physics
Quantum process tomography (QPT), used to estimate the linear map that best describes a quantum operation, is usually performed using a priori assumptions about state preparation and measurement (SPAM), which yield a biased and inconsistent estimator. This estimate can be made more accurate and less biased by incorporating SPAM-calibration data. Unobservable properties of the SPAM operations introduce a small gauge freedom that can be regularized using the a priori SPAM. We give an explicit correction procedure for standard linear-inversion QPT and overcomplete linear-inversion QPT, and describe how to extend it to statistically principled estimators like maximum likelihood estimation.
title Easy better quantum process tomography
topic Quantum Physics
url https://arxiv.org/abs/2412.16293