Software Development
Pennylane
Cross-platform Python library for quantum computing, quantum machine learning, and quantum chemistry. Enables building and training quantum circuits with automatic differentiation, seamless integration with PyTorch/JAX/TensorFlow, and device-independent execution across simulators and quantum hardware (IBM, Amazon Braket, Google, Rigetti, IonQ, etc.). Use when working with quantum circuits, variational quantum algorithms (VQE, QAOA), quantum neural networks, hybrid quantum-classical models, molecular simulations, quantum chemistry calculations, or any quantum computing tasks requiring gradient-based optimization, hardware-agnostic programming, or quantum machine learning workflows.
- Publisher / source
- davila7/claude-code-templates (found on skills.sh)
- Upstream record
- davila7/claude-code-templates
- Version
- Version 3
- Published
- Publication review
- Approved for publication
- Content fingerprint
d0fce8b5c9b07371950f03384c15661513327c60edaee0a71f4e19429619846b