Skip to main content
OSTI.GOVU.S. Department of Energy Office of Scientific and Technical Information
U.S. Department of Energy
Office of Scientific and Technical Information
 

MAQ: Machine Learning on Adiabatic Quantum Computers

Software ·
DOI:https://doi.org/10.11578/dc.20240307.2· OSTI ID:2331396 · Code ID:123562
 [1];  [1];  [1];  [1];  [1]
  1. Oak Ridge National Laboratory (ORNL), Oak Ridge, TN (United States)
+ Show Developer Affiliations

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

Short Name / Acronym:
maq
Project Type:
Open Source, Publicly Available Repository
Software Type:
Scientific
License(s):
BSD 3-clause "New" or "Revised" License
Programming Language(s):
Python
Research Organization:
Oak Ridge National Laboratory (ORNL), Oak Ridge, TN (United States)
Sponsoring Organization:
USDOE Office of Science (SC), Advanced Scientific Computing Research (ASCR)
Primary Award/Contract Number:
AC05-00OR22725
DOE Contract Number:
AC05-00OR22725
Code ID:
123562
OSTI ID:
2331396
Country of Origin:
United States

Similar Records

CMLM (Co-Optimized Machine-Learned Manifolds) [SWR-23-41]
Software · Tue Feb 06 00:00:00 EST 2024 · OSTI ID:2346164
+1 more
A Classical-Quantum Hybrid Approach for Unsupervised Probabilistic Machine Learning
Conference · Fri Feb 01 00:00:00 EST 2019 · OSTI ID:1557468
+1 more
Balanced k-means clustering on an adiabatic quantum computer
Journal Article · Sat Sep 04 00:00:00 EDT 2021 · Quantum Information Processing · OSTI ID:1831694

Related Subjects