https://github.com/PennyLaneAI/qml

Introductions to key concepts in quantum programming, as well as tutorials and implementations from cutting-edge quantum computing research.
https://github.com/PennyLaneAI/qml

autograd automatic-differentiation demo key-concepts neural-networks pytorch qml quantum-chemistry quantum-computing quantum-machine-learning tensorflow tutorials

Last synced: 8 days ago
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Introductions to key concepts in quantum programming, as well as tutorials and implementations from cutting-edge quantum computing research.

• Host: GitHub
• URL: https://github.com/PennyLaneAI/qml
• Owner: PennyLaneAI
• License: apache-2.0
• Created: 2019-10-09T19:17:54.000Z (about 5 years ago)
• Default Branch: master
• Last Pushed: 2024-04-16T09:07:37.000Z (7 months ago)
• Last Synced: 2024-04-16T10:31:34.082Z (7 months ago)
• Topics: autograd, automatic-differentiation, demo, key-concepts, neural-networks, pytorch, qml, quantum-chemistry, quantum-computing, quantum-machine-learning, tensorflow, tutorials
• Language: Python
• Homepage: https://pennylane.ai/qml
• Size: 374 MB
• Stars: 493
• Watchers: 23
• Forks: 169
• Open Issues: 41
• Metadata Files:
  • Readme: README.md
  • License: LICENSE
  • Code of conduct: .github/CODE_OF_CONDUCT.md

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• quantum-awesome - https://github.com/PennyLaneAI/qml