Adaptive stabilization of quantum circuits executed on unstable devices

Samudra Dasgupta; Travis S. Humble

doi:10.1109/QCE53715.2022.00102

Adaptive stabilization of quantum circuits executed on unstable devices

Samudra Dasgupta, Travis S. Humble

Quantum Science Center

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

1 Scopus citations

Abstract

Conventional computers have evolved to device components that demonstrate failure rates of 10-17 or less, while current quantum computing devices typically exhibit error rates of 10-2 or greater. This raises concerns about the reliability and reproducibility of the results obtained from quantum computers. The problem is highlighted by experimental observation that today's NISQ devices are inherently unstable. Remote quantum cloud servers typically do not provide users with an ability to calibrate the device themselves. Using inaccurate characterization data for error mitigation can have devastating impact on reproducibility. In this study, we investigate if one can infer the critical channel parameters dynamically from the noisy binary output of the executed quantum circuit and use it to improve program stability. An open question however is how well does this methodology scale. We discuss the efficacy and efficiency of our adaptive algorithm using canonical quantum circuits such as the uniform superposition circuit. Our metric of performance is the Hellinger distance between the post-stabilization observations and the reference (ideal) distribution.

Original language	English
Title of host publication	Proceedings - 2022 IEEE International Conference on Quantum Computing and Engineering, QCE 2022
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	736-740
Number of pages	5
ISBN (Electronic)	9781665491136
DOIs	https://doi.org/10.1109/QCE53715.2022.00102
State	Published - 2022
Event	3rd IEEE International Conference on Quantum Computing and Engineering, QCE 2022 - Broomfield, United States Duration: Sep 18 2022 → Sep 23 2022

Publication series

Name	Proceedings - 2022 IEEE International Conference on Quantum Computing and Engineering, QCE 2022

Conference

Conference	3rd IEEE International Conference on Quantum Computing and Engineering, QCE 2022
Country/Territory	United States
City	Broomfield
Period	09/18/22 → 09/23/22

Funding

This work is supported by the U. S. Department of Energy (DOE), Office of Science, National Quantum Information Science Research Centers, Quantum Science Center and the Advanced Scientific Computing Research, Advanced Research for Quantum Computing program. This research used computing resources of the Oak Ridge Leadership Computing Facility, which is a DOE Office of Science User Facility supported under Contract DE-AC05-00OR22725. The manuscript is authored by UT-Battelle, LLC under Contract No. DE-AC05-00OR22725with the U.S. Department of Energy. The

Keywords

Adaptive stabilization
Hybrid quantum-classical computing
NISQ hardware-software co-design
Quantum computing

Access to Document

10.1109/QCE53715.2022.00102

Cite this

Dasgupta, S., & Humble, T. S. (2022). Adaptive stabilization of quantum circuits executed on unstable devices. In Proceedings - 2022 IEEE International Conference on Quantum Computing and Engineering, QCE 2022 (pp. 736-740). (Proceedings - 2022 IEEE International Conference on Quantum Computing and Engineering, QCE 2022). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/QCE53715.2022.00102

Dasgupta, Samudra ; Humble, Travis S. / Adaptive stabilization of quantum circuits executed on unstable devices. Proceedings - 2022 IEEE International Conference on Quantum Computing and Engineering, QCE 2022. Institute of Electrical and Electronics Engineers Inc., 2022. pp. 736-740 (Proceedings - 2022 IEEE International Conference on Quantum Computing and Engineering, QCE 2022).

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abstract = "Conventional computers have evolved to device components that demonstrate failure rates of 10-17 or less, while current quantum computing devices typically exhibit error rates of 10-2 or greater. This raises concerns about the reliability and reproducibility of the results obtained from quantum computers. The problem is highlighted by experimental observation that today's NISQ devices are inherently unstable. Remote quantum cloud servers typically do not provide users with an ability to calibrate the device themselves. Using inaccurate characterization data for error mitigation can have devastating impact on reproducibility. In this study, we investigate if one can infer the critical channel parameters dynamically from the noisy binary output of the executed quantum circuit and use it to improve program stability. An open question however is how well does this methodology scale. We discuss the efficacy and efficiency of our adaptive algorithm using canonical quantum circuits such as the uniform superposition circuit. Our metric of performance is the Hellinger distance between the post-stabilization observations and the reference (ideal) distribution.",

keywords = "Adaptive stabilization, Hybrid quantum-classical computing, NISQ hardware-software co-design, Quantum computing",

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Dasgupta, S & Humble, TS 2022, Adaptive stabilization of quantum circuits executed on unstable devices. in Proceedings - 2022 IEEE International Conference on Quantum Computing and Engineering, QCE 2022. Proceedings - 2022 IEEE International Conference on Quantum Computing and Engineering, QCE 2022, Institute of Electrical and Electronics Engineers Inc., pp. 736-740, 3rd IEEE International Conference on Quantum Computing and Engineering, QCE 2022, Broomfield, United States, 09/18/22. https://doi.org/10.1109/QCE53715.2022.00102

Adaptive stabilization of quantum circuits executed on unstable devices. / Dasgupta, Samudra; Humble, Travis S.
Proceedings - 2022 IEEE International Conference on Quantum Computing and Engineering, QCE 2022. Institute of Electrical and Electronics Engineers Inc., 2022. p. 736-740 (Proceedings - 2022 IEEE International Conference on Quantum Computing and Engineering, QCE 2022).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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Dasgupta S, Humble TS. Adaptive stabilization of quantum circuits executed on unstable devices. In Proceedings - 2022 IEEE International Conference on Quantum Computing and Engineering, QCE 2022. Institute of Electrical and Electronics Engineers Inc. 2022. p. 736-740. (Proceedings - 2022 IEEE International Conference on Quantum Computing and Engineering, QCE 2022). doi: 10.1109/QCE53715.2022.00102

Adaptive stabilization of quantum circuits executed on unstable devices

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