How many trials do we need for reliable NISQ computing?

Teruo Tanimoto, Shuhei Matsuo, Satoshi Kawakami, Yutaka Tabuchi, Masao Hirokawa, Koji Inoue

研究成果: Chapter in Book/Report/Conference proceedingConference contribution

抄録

Gate-based quantum computing is an attractive candidate in the post-Moore era. Noisy intermediate-scale quantum (NISQ) computers are expected to be available in the next few years. It is required to repeatedly execute the target quantum application for reliable NISQ computing, e.g., users can set 1,024 as a repetition parameter in the IBM-Q machine, because NISQ computers output follows the probability distribution of execution trials. Since the distribution depends strongly on the effects of noise, it is difficult to determine a sufficient number of repetitions. This paper proposes a novel statistical approach for efficient NISQ computing. The key idea is to introduce a Bayesian credible interval model to obtain convergence of the probability distributions. We demonstrate that our execution method can detect all significant output values, that occur more often than the random situation (probability is 1/2n), using a NISQ simulator.

本文言語英語
ホスト出版物のタイトルProceedings - 2020 IEEE Computer Society Annual Symposium on VLSI, ISVLSI 2020
出版社IEEE Computer Society
ページ288-290
ページ数3
ISBN(電子版)9781728157757
DOI
出版ステータス出版済み - 7 2020
イベント19th IEEE Computer Society Annual Symposium on VLSI, ISVLSI 2020 - Limassol, キプロス
継続期間: 7 6 20207 8 2020

出版物シリーズ

名前Proceedings of IEEE Computer Society Annual Symposium on VLSI, ISVLSI
2020-July
ISSN(印刷版)2159-3469
ISSN(電子版)2159-3477

会議

会議19th IEEE Computer Society Annual Symposium on VLSI, ISVLSI 2020
Countryキプロス
CityLimassol
Period7/6/207/8/20

All Science Journal Classification (ASJC) codes

  • Hardware and Architecture
  • Control and Systems Engineering
  • Electrical and Electronic Engineering

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