Abstract
SAND2022-12600 O
Quantum Manifold Learning is a Python code to perform manifold learning from point clouds. Sandia National Laboratories is a multimission laboratory managed and operated by National Technology & Engineering Solutions of Sandia, LLC, a wholly owned subsidiary of Honeywell International Inc., for the U.S. Department of Energy’s National Nuclear Security Administration under contract DE-NA0003525.
- Developers:
-
Sarovar, Mohan [1][2][3] ; Kumar, Akshat [4]
- Sandia National Lab. (SNL-CA), Livermore, CA (United States)
- Sandia National Lab. (SNL-NM), Albuquerque, NM (United States)
- Sandia National Laboratories (SNL), Albuquerque, NM, and Livermore, CA (United States)
- Omar Little Solutions
- Release Date:
- 2022-08-04
- Project Type:
- Open Source, Publicly Available Repository
- Software Type:
- Scientific
- Programming Languages:
-
Python3
Cuda
- Version:
- 0.9
- Licenses:
-
MIT License
- Sponsoring Org.:
-
USDOEPrimary Award/Contract Number:NA0003525
- Code ID:
- 94975
- Site Accession Number:
- SCR #2809
- Research Org.:
- Sandia National Laboratories (SNL-NM), Albuquerque, NM (United States)
- Country of Origin:
- United States
Citation Formats
Sarovar, Mohan, and Kumar, Akshat.
Quantum Manifold Learning.
Computer Software.
https://github.com/sandialabs/QML.
USDOE.
04 Aug. 2022.
Web.
doi:10.11578/dc.20240910.4.
Sarovar, Mohan, & Kumar, Akshat.
(2022, August 04).
Quantum Manifold Learning.
[Computer software].
https://github.com/sandialabs/QML.
https://doi.org/10.11578/dc.20240910.4.
Sarovar, Mohan, and Kumar, Akshat.
"Quantum Manifold Learning." Computer software.
August 04, 2022.
https://github.com/sandialabs/QML.
https://doi.org/10.11578/dc.20240910.4.
@misc{
doecode_94975,
title = {Quantum Manifold Learning},
author = {Sarovar, Mohan and Kumar, Akshat},
abstractNote = {SAND2022-12600 O
Quantum Manifold Learning is a Python code to perform manifold learning from point clouds. Sandia National Laboratories is a multimission laboratory managed and operated by National Technology & Engineering Solutions of Sandia, LLC, a wholly owned subsidiary of Honeywell International Inc., for the U.S. Department of Energy’s National Nuclear Security Administration under contract DE-NA0003525.},
doi = {10.11578/dc.20240910.4},
url = {https://doi.org/10.11578/dc.20240910.4},
howpublished = {[Computer Software] \url{https://doi.org/10.11578/dc.20240910.4}},
year = {2022},
month = {aug}
}