Software tools for quantum control: improving quantum computer performance through noise and error suppression-Reference-Cited by-同舟云学术

Software tools for quantum control: improving quantum computer performance through noise and error suppression

Published:2021-09-30 Issue:4 Volume:6 Page:044011
ISSN:2058-9565
Container-title:Quantum Science and Technology
language:
Short-container-title:Quantum Sci. Technol.

Author:

Ball Harrison^ORCID,Biercuk Michael J,Carvalho Andre R R,Chen Jiayin,Hush Michael^ORCID,De Castro Leonardo A,Li Li,Liebermann Per J,Slatyer Harry J,Edmunds Claire,Frey Virginia,Hempel Cornelius,Milne Alistair

Funder

US Army Research Office

Intelligence Advanced Research Projects Activity

Australian Research Council

H. & A. Harley.

Publisher

IOP Publishing

Subject

Electrical and Electronic Engineering,Physics and Astronomy (miscellaneous),Materials Science (miscellaneous),Atomic and Molecular Physics, and Optics

Link

https://iopscience.iop.org/article/10.1088/2058-9565/abdca6/pdf

Reference139 articles.

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4. Rigetti forest, GitHub,2020

5. A Python framework for creating, editing, and invoking Noisy Intermediate Scale Quantum (NISQ) circuits, GitHub,2020

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