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: 18 days ago
JSON representation

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 (over 5 years ago)
• Default Branch: master
• Last Pushed: 2024-12-20T21:59:18.000Z (4 months ago)
• Last Synced: 2024-12-23T00:05:20.505Z (4 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: 402 MB
• Stars: 563
• Watchers: 22
• Forks: 188
• Open Issues: 39
• Metadata Files:
  • Readme: README.md
  • License: LICENSE
  • Code of conduct: .github/CODE_OF_CONDUCT.md

Awesome Lists containing this project

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