Metadata-Version: 2.1
Name: maq
Version: 0.1
Summary: Machine Learning on Adiabatic Quantum Computers (MAQ) is a library of algorithms used to train machine learning models on adiabatic quantum computers.
Home-page: https://github.com/prasannadate/maq
Download-URL: https://github.com/prasannadate/maq/archive/refs/tags/v1.0.0.tar.gz
Author: Prasanna Date, Kathleen Hamilton, Robert Patton, Travis Humble, Thomas Potok
Author-email: datepa@ornl.gov
License: BSD 3-Clause
Project-URL: Source, https://github.com/prasannadate/maq
Keywords: Adiabatic Quantum Machine Learning,Quantum Machine Learning,Adiabatic Quantum Computing,Quantum Computing,Machine Learning
Classifier: Development Status :: 3 - Alpha
Classifier: Intended Audience :: Developers
Classifier: Topic :: Software Development :: Build Tools
Classifier: License :: OSI Approved :: BSD License
Classifier: Programming Language :: Python :: 3
Description-Content-Type: text/markdown

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