@inproceedings{b0672516cf7646fa9363b80ef93e3bfb,
title = "Characterizing the Stability of NISQ Devices",
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.",
keywords = "Benchmarks and Metrics, Histogram Similarity, Moment Based Distance (MBD), NISQ Stability, Quantum Computing",
author = "Samudra Dasgupta and Humble, {Travis S.}",
note = "Publisher Copyright: {\textcopyright} 2020 IEEE.; 2020 IEEE International Conference on Quantum Computing and Engineering, QCE 2020 ; Conference date: 12-10-2020 Through 16-10-2020",
year = "2020",
month = oct,
doi = "10.1109/QCE49297.2020.00059",
language = "English",
series = "Proceedings - IEEE International Conference on Quantum Computing and Engineering, QCE 2020",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "419--429",
editor = "Muller, {Hausi A.} and Greg Byrd and Candace Culhane and Erik DeBenedictis and Travis Humble",
booktitle = "Proceedings - IEEE International Conference on Quantum Computing and Engineering, QCE 2020",
}