Published January 24, 2023
| Version v1.0.1
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Searching for spin glass ground states through deep reinforcement learning
Authors/Creators
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Contact person:
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Project member (4):
- 1. National University of Defense Technology
- 2. Washington University in St. Louis
- 3. University of California, Los Angeles
- 4. Harvard Medical School
Description
Source codes for "Searching for spin glass ground states through deep reinforcement learning", Accepted by Nature Communications
Files
DIRAC-main.zip
Files
(3.1 MB)
| Name | Size | Download all |
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md5:b2a09ed7f5f822e00866aa63b81b2832
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1.6 MB | Preview Download |
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md5:91470584a5afb98e6631b0df1cc7fdf7
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1.5 MB | Preview Download |
Additional details
Related works
- Has part
- Dataset: https://drive.google.com/file/d/1h2enhzjb1HOK6cbrrCo8yz9KYtZ6zjrH/view?usp=share_link (URL)
- Is published in
- Software: https://github.com/FFrankyy/DIRAC.git (URL)