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PyQuil: Quantum programming in Python

integration_instructionsResearch softwarekeyboard_double_arrow_right Software 26 Nov 2019Publisher:Zenodo
Authors: Karalekas, Peter J.; Harrigan, Matthew P.; Heidel, Steven; Zeng, William J.; M. Sohaib Alam; Appleby, Mike I.; Capelluto, Lauren E.; +13 Authors
Code repository: https://github.com/rigetti/pyquil/tree/v2.17.0

doi: 10.5281/zenodo.3631770 , 10.5281/zenodo.3604432 , 10.5281/zenodo.3553166 , 10.5281/zenodo.3588566 , 10.5281/zenodo.3553165

PyQuil: Quantum programming in Python

Abstract

PyQuil is a Python library for quantum programming using Quil, the quantum instruction language developed at Rigetti Computing. PyQuil serves three main functions: Easily generating Quil programs from quantum gates and classical operations Compiling and simulating Quil programs using the Quil Compiler (quilc) and the Quantum Virtual Machine (QVM) Executing Quil programs on real quantum processors (QPUs) using Quantum Cloud Services (QCS)

  • BIP!
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    selected citations
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    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    		 4
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    		 Top 10%
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    		 Average
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    		 Top 10%
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visibility
selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
views
OpenAIRE UsageCountsViews provided by UsageCounts
4
Top 10%
Average
Top 10%
27