Batching Circuits to Reduce Compilation in Quantum Control Hardware

Ashlyn D. Burch; Daniel S. Lobser; Christopher G. Yale; Jay W. Van Der Wall; Oliver G. Maupin; Joshua D. Goldberg; Matthew N.H. Chow; Melissa C. Revelle; Susan M. Clark

doi:10.1109/QCE53715.2022.00072

Batching Circuits to Reduce Compilation in Quantum Control Hardware

Ashlyn D. Burch, Daniel S. Lobser, Christopher G. Yale, Jay W. Van Der Wall, Oliver G. Maupin, Joshua D. Goldberg, Matthew N.H. Chow, Melissa C. Revelle, Susan M. Clark

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

1 Scopus citations

Abstract

At Sandia National Laboratories, QSCOUT (the Quantum Scientific Computing Open User Testbed) is an ion-trap based quantum computer built for the purpose of allowing users low-level access to quantum hardware. Commands are executed on the hardware using Jaqal (Just Another Quantum Assembly Language), a programming language designed in-house to support the unique capabilities of QSCOUT. In this work, we describe a batching implementation of our custom software that speeds the experimental run-time through the reduction of communication and upload times. Reducing the code upload time during experimental runs improves system performance by mitigating the effects of drift. We demonstrate this implementation through a set of quantum chemistry experiments using a variational quantum eigensolver (VQE). While developed specifically for this testbed, this idea finds application across many similar experimental platforms that seek greater hardware control or reduced overhead.

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	503-508
Number of pages	6
ISBN (Electronic)	9781665491136
DOIs	https://doi.org/10.1109/QCE53715.2022.00072
State	Published - 2022
Externally published	Yes
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 was supported by the U.S. Department of Energy, Office of Science, Office of Advanced Scientific Computing Research Quantum Testbed Program. Sandia National Laboratories is a multimission laboratory managed and operated by National Technology and Engineering Solutions of Sandia, LLC, a wholly owned subsidiary of Honeywell International Inc., for the U.S. Department of Energy’s National Nuclear Security Administration under Contract DE-NA0003525.This article describes objective technical results and analysis. Any subjective views or opinions that might be expressed in the article do not necessarily represent the views of the U.S. Department of Energy or the U. S. Government. SANDXXXXXXXXXX

Keywords

ion traps
quantum computation
quantum control hardware

Access to Document

10.1109/QCE53715.2022.00072

Cite this

Burch, A. D., Lobser, D. S., Yale, C. G., Van Der Wall, J. W., Maupin, O. G., Goldberg, J. D., Chow, M. N. H., Revelle, M. C., & Clark, S. M. (2022). Batching Circuits to Reduce Compilation in Quantum Control Hardware. In Proceedings - 2022 IEEE International Conference on Quantum Computing and Engineering, QCE 2022 (pp. 503-508). (Proceedings - 2022 IEEE International Conference on Quantum Computing and Engineering, QCE 2022). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/QCE53715.2022.00072

Burch, Ashlyn D. ; Lobser, Daniel S. ; Yale, Christopher G. et al. / Batching Circuits to Reduce Compilation in Quantum Control Hardware. Proceedings - 2022 IEEE International Conference on Quantum Computing and Engineering, QCE 2022. Institute of Electrical and Electronics Engineers Inc., 2022. pp. 503-508 (Proceedings - 2022 IEEE International Conference on Quantum Computing and Engineering, QCE 2022).

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abstract = "At Sandia National Laboratories, QSCOUT (the Quantum Scientific Computing Open User Testbed) is an ion-trap based quantum computer built for the purpose of allowing users low-level access to quantum hardware. Commands are executed on the hardware using Jaqal (Just Another Quantum Assembly Language), a programming language designed in-house to support the unique capabilities of QSCOUT. In this work, we describe a batching implementation of our custom software that speeds the experimental run-time through the reduction of communication and upload times. Reducing the code upload time during experimental runs improves system performance by mitigating the effects of drift. We demonstrate this implementation through a set of quantum chemistry experiments using a variational quantum eigensolver (VQE). While developed specifically for this testbed, this idea finds application across many similar experimental platforms that seek greater hardware control or reduced overhead.",

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series = "Proceedings - 2022 IEEE International Conference on Quantum Computing and Engineering, QCE 2022",

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Burch, AD, Lobser, DS, Yale, CG, Van Der Wall, JW, Maupin, OG, Goldberg, JD, Chow, MNH, Revelle, MC & Clark, SM 2022, Batching Circuits to Reduce Compilation in Quantum Control Hardware. 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. 503-508, 3rd IEEE International Conference on Quantum Computing and Engineering, QCE 2022, Broomfield, United States, 09/18/22. https://doi.org/10.1109/QCE53715.2022.00072

Batching Circuits to Reduce Compilation in Quantum Control Hardware. / Burch, Ashlyn D.; Lobser, Daniel S.; Yale, Christopher G. et al.
Proceedings - 2022 IEEE International Conference on Quantum Computing and Engineering, QCE 2022. Institute of Electrical and Electronics Engineers Inc., 2022. p. 503-508 (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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Burch AD, Lobser DS, Yale CG, Van Der Wall JW, Maupin OG, Goldberg JD et al. Batching Circuits to Reduce Compilation in Quantum Control Hardware. In Proceedings - 2022 IEEE International Conference on Quantum Computing and Engineering, QCE 2022. Institute of Electrical and Electronics Engineers Inc. 2022. p. 503-508. (Proceedings - 2022 IEEE International Conference on Quantum Computing and Engineering, QCE 2022). doi: 10.1109/QCE53715.2022.00072

Batching Circuits to Reduce Compilation in Quantum Control Hardware

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