maq

Name	maq JSON
Version	0.2 JSON
	download
home_page	https://github.com/prasannadate/maq
Summary	Machine Learning on Adiabatic Quantum Computers (MAQ) is a library of algorithms used to train machine learning models on adiabatic quantum computers.
upload_time	2024-04-01 23:15:17
maintainer	None
docs_url	None
author	Prasanna Date, Kathleen Hamilton, Robert Patton, Travis Humble, Thomas Potok
requires_python	None
license	BSD License
keywords	adiabatic quantum machine learning quantum machine learning adiabatic quantum computing quantum computing machine learning
VCS
bugtrack_url
requirements	No requirements were recorded.
Travis-CI	No Travis.
coveralls test coverage	No coveralls.

            Machine Learning on Adiabatic Quantum Computers (MAQ) is a library of algorithms used to train machine learning models on adiabatic quantum computers.

            

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