Realising and compressing quantum circuits with quantum reservoir computing

Building quantum computers typically requires substantial engineering efforts to achieve precise control on qubits and quantum gates. Here, the authors introduce an architecture based on reservoir computing and machine learning to realize efficient quantum operations without resorting to full optimi...

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Main Authors:	Sanjib Ghosh, Tanjung Krisnanda, Tomasz Paterek, Timothy C. H. Liew
Format:	article
Language:	EN
Published:	Nature Portfolio 2021
Subjects:	Astrophysics QB460-466 Physics QC1-999
Online Access:	https://doaj.org/article/2feda7b6e87549cea5068c5c9e6f1bed
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spelling	oai:doaj.org-article:2feda7b6e87549cea5068c5c9e6f1bed2021-12-02T15:52:53ZRealising and compressing quantum circuits with quantum reservoir computing10.1038/s42005-021-00606-32399-3650https://doaj.org/article/2feda7b6e87549cea5068c5c9e6f1bed2021-05-01T00:00:00Zhttps://doi.org/10.1038/s42005-021-00606-3https://doaj.org/toc/2399-3650Building quantum computers typically requires substantial engineering efforts to achieve precise control on qubits and quantum gates. Here, the authors introduce an architecture based on reservoir computing and machine learning to realize efficient quantum operations without resorting to full optimization of the control parameters.Sanjib GhoshTanjung KrisnandaTomasz PaterekTimothy C. H. LiewNature PortfolioarticleAstrophysicsQB460-466PhysicsQC1-999ENCommunications Physics, Vol 4, Iss 1, Pp 1-7 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Astrophysics QB460-466 Physics QC1-999
spellingShingle	Astrophysics QB460-466 Physics QC1-999 Sanjib Ghosh Tanjung Krisnanda Tomasz Paterek Timothy C. H. Liew Realising and compressing quantum circuits with quantum reservoir computing
description	Building quantum computers typically requires substantial engineering efforts to achieve precise control on qubits and quantum gates. Here, the authors introduce an architecture based on reservoir computing and machine learning to realize efficient quantum operations without resorting to full optimization of the control parameters.
format	article
author	Sanjib Ghosh Tanjung Krisnanda Tomasz Paterek Timothy C. H. Liew
author_facet	Sanjib Ghosh Tanjung Krisnanda Tomasz Paterek Timothy C. H. Liew
author_sort	Sanjib Ghosh
title	Realising and compressing quantum circuits with quantum reservoir computing
title_short	Realising and compressing quantum circuits with quantum reservoir computing
title_full	Realising and compressing quantum circuits with quantum reservoir computing
title_fullStr	Realising and compressing quantum circuits with quantum reservoir computing
title_full_unstemmed	Realising and compressing quantum circuits with quantum reservoir computing
title_sort	realising and compressing quantum circuits with quantum reservoir computing
publisher	Nature Portfolio
publishDate	2021
url	https://doaj.org/article/2feda7b6e87549cea5068c5c9e6f1bed
work_keys_str_mv	AT sanjibghosh realisingandcompressingquantumcircuitswithquantumreservoircomputing AT tanjungkrisnanda realisingandcompressingquantumcircuitswithquantumreservoircomputing AT tomaszpaterek realisingandcompressingquantumcircuitswithquantumreservoircomputing AT timothychliew realisingandcompressingquantumcircuitswithquantumreservoircomputing
_version_	1718385561656360960

Realising and compressing quantum circuits with quantum reservoir computing

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