Characterizing the Stability of NISQ Devices

Samudra Dasgupta, Travis S. Humble

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

7 Scopus citations

Abstract

In this study, we focus on the question of stability of NISQ devices. The parameters that define the device stability profile are motivated by the work of DiVincenzo in [9] where the requirements for physical implementation of quantum computing are discussed. We develop the metrics and theoretical framework to quantify the DiVincenzo requirements and study the stability of those key metrics. The basis of our assessment is histogram similarity (in time and space). For identical experiments, devices which produce reproducible histograms in time, and similar histograms in space, are considered more reliable. To investigate such reliability concerns robustly, we propose a moment-based distance (MBD) metric. We illustrate our methodology using data collected from IBM's Yorktown device. Two types of assessments are discussed: spatial stability and temporal stability.

Original languageEnglish
Title of host publicationProceedings - IEEE International Conference on Quantum Computing and Engineering, QCE 2020
EditorsHausi A. Muller, Greg Byrd, Candace Culhane, Erik DeBenedictis, Travis Humble
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages419-429
Number of pages11
ISBN (Electronic)9781728189697
DOIs
StatePublished - Oct 2020
Externally publishedYes
Event2020 IEEE International Conference on Quantum Computing and Engineering, QCE 2020 - Denver, United States
Duration: Oct 12 2020Oct 16 2020

Publication series

NameProceedings - IEEE International Conference on Quantum Computing and Engineering, QCE 2020

Conference

Conference2020 IEEE International Conference on Quantum Computing and Engineering, QCE 2020
Country/TerritoryUnited States
CityDenver
Period10/12/2010/16/20

Funding

This work is supported by the Department of Energy (DOE) Office of Science, Early Career Research Program. SD thanks Peter Lockwood, Prakash Murali, and Megan Lilly for valuable discussions. 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. This manuscript has been authored by UT-Battelle, LLC under Contract No. DE-AC05-00OR22725 with the U.S. Department of Energy. The United States Government retains and the publisher, by accepting the article for publication, acknowledges that the United States Government retains a nonexclusive, paid-up, irrevocable, worldwide license to publish or reproduce the published form of this manuscript, or allow others to do so, for United States Government purposes. The Department of Energy will provide public access to these results of federally sponsored research in accordance with the DOE Public Access Plan. (http://energy.gov/downloads/doe-public-279access-plan).

FundersFunder number
U.S. Department of Energy
Office of ScienceDE-AC05-00OR22725
U.S. Department of Energy
Office of Science

    Keywords

    • Benchmarks and Metrics
    • Histogram Similarity
    • Moment Based Distance (MBD)
    • NISQ Stability
    • Quantum Computing

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