skills/claude-scientific-skills
1
0
Fork 0
mirror of https://github.com/K-Dense-AI/claude-scientific-skills.git synced 2026-01-26 16:58:56 +08:00
Code Issues Packages Projects Releases Wiki Activity

Disambiguate descriptions

Browse Source
This commit is contained in:
Timothy Kassis
2026-01-05 14:25:22 -08:00
parent 15d9e4699a
commit 9cb0c2f934
34 changed files with 34 additions and 34 deletions
Download Patch File Download Diff File Expand all files Collapse all files

2
scientific-skills/pennylane/SKILL.md
View File

@@ -1,6 +1,6 @@
---
name: pennylane
description: 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.
description: Hardware-agnostic quantum ML framework with automatic differentiation. Use when training quantum circuits via gradients, building hybrid quantum-classical models, or needing device portability across IBM/Google/Rigetti/IonQ. Best for variational algorithms (VQE, QAOA), quantum neural networks, and integration with PyTorch/JAX/TensorFlow. For hardware-specific optimizations use qiskit (IBM) or cirq (Google); for open quantum systems use qutip.
license: Apache-2.0 license
metadata:
skill-author: K-Dense Inc.