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Main Authors: Wimmer, Christian, Szangolies, Jochen, Epping, Michael
Format: Preprint
Published: 2023
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Online Access:https://arxiv.org/abs/2305.03004
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author Wimmer, Christian
Szangolies, Jochen
Epping, Michael
author_facet Wimmer, Christian
Szangolies, Jochen
Epping, Michael
contents Quantum error correction can reduce the effects of noise in quantum systems, e.g. in metrology or most notably in quantum computing. Typically, this requires making measurements that provide information about the errors that have occurred in the system. However, these syndrome measurements themselves introduce noise into the system, for example by using noisy gates. A complete characterization of the measurements is very costly. Here we describe a calibration method to obtain the syndrome statistics taking into account the additional noise sources. All calibration data are extracted from a single experiment in which the syndrome measurement is performed twice in a row. Thus, our method allows an accurate evaluation of syndrome measurements with significantly less effort than existing methods. We give examples of the application of this method to noise estimation and error correction. Finally, we discuss the results of experiments performed on an IBM quantum computer.
format Preprint
id arxiv_https___arxiv_org_abs_2305_03004
institution arXiv
publishDate 2023
record_format arxiv
spellingShingle Calibration of syndrome measurements in a single experiment
Wimmer, Christian
Szangolies, Jochen
Epping, Michael
Quantum Physics
81P73 (Primary), 81P15 (Secondary)
E.4
Quantum error correction can reduce the effects of noise in quantum systems, e.g. in metrology or most notably in quantum computing. Typically, this requires making measurements that provide information about the errors that have occurred in the system. However, these syndrome measurements themselves introduce noise into the system, for example by using noisy gates. A complete characterization of the measurements is very costly. Here we describe a calibration method to obtain the syndrome statistics taking into account the additional noise sources. All calibration data are extracted from a single experiment in which the syndrome measurement is performed twice in a row. Thus, our method allows an accurate evaluation of syndrome measurements with significantly less effort than existing methods. We give examples of the application of this method to noise estimation and error correction. Finally, we discuss the results of experiments performed on an IBM quantum computer.
title Calibration of syndrome measurements in a single experiment
topic Quantum Physics
81P73 (Primary), 81P15 (Secondary)
E.4
url https://arxiv.org/abs/2305.03004