https://github.com/ollpu/qml

Quantum machine learning scheme (without the quantum part)
https://github.com/ollpu/qml

gradient-descent quantum-machine-learning

Last synced: about 1 year ago
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Quantum machine learning scheme (without the quantum part)

• Host: GitHub
• URL: https://github.com/ollpu/qml
• Owner: ollpu
• License: mit
• Created: 2020-06-17T16:12:21.000Z (about 6 years ago)
• Default Branch: master
• Last Pushed: 2020-06-19T15:05:19.000Z (about 6 years ago)
• Last Synced: 2025-02-04T23:56:57.621Z (over 1 year ago)
• Topics: gradient-descent, quantum-machine-learning
• Language: Python
• Size: 15.6 KB
• Stars: 1
• Watchers: 4
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

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README

          
# QML

A quantum machine learning scheme according to [Microsoft's paper](https://arxiv.org/pdf/1804.00633.pdf).

[Corresponding implementation in Microsoft's Q# libraries](https://docs.microsoft.com/en-us/quantum/libraries/machine-learning/)

The difference is that this project isn't actually simulating a quantum computer

and sampling probabilites. That's horribly slow. They also have a nonsensical

way of selecting the bias parameter.