Machine Learning on Adiabatic Quantum Computers (MAQ) is a library of algorithms used to train machine learning models on adiabatic quantum computers.
Metadata
Release files for maq 0.2
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| maq-0.2.tar.gz | 1.7 kB | Details |
Release files / maq-0.2.tar.gz
| Download URL | maq-0.2.tar.gz |
|---|---|
| Size | 1.7 kB |
| Tags | Source |
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SHA-256 checksum How to use checksums |
53603a63a9a6850f42a8ee9f9a4bc5c2b39a442e3c4bb259b84707e580bd4a48
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BLAKE2b-256 checksum How to use checksums |
8c61501d6f06c5562360ec34731c1eddf50bb84b29d63956ed8bb379ef99731e
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twine/5.0.0 CPython/3.9.7
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