PennyLaneAI/pennylane

Health v2 · maintenance only

Adoption not part of the score

3441 stars · 854 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-29, confidence not recorded

PennyLane is a cross-platform Python library for quantum computing, quantum machine learning, and quantum chemistry. It lets users build and train quantum circuits with automatic differentiation, integrating with frameworks like TensorFlow, PyTorch, JAX, and hardware backends such as Qiskit and Cirq.

Use cases

• build and simulate quantum circuits in python
• train quantum machine learning models like neural networks
• compute quantum chemistry simulations with differentiable circuits
• run hybrid quantum-classical optimization algorithms
• interface quantum programs with qiskit or cirq backends
• learn quantum computing through tutorials and demos

When to choose

• you need differentiable quantum programming integrated with PyTorch, TensorFlow, or JAX
• you want a single library spanning quantum ML, chemistry, and algorithms
• you want to run the same code on simulators and real quantum hardware

When to avoid

• you only need classical machine learning with no quantum component
• you need low-level pulse-level control of quantum hardware
• you want a non-Python quantum SDK

Facets

library · maturity stable

machine-learning simulation sdk math quantum-computing machine-learning deep-learning chemistry artificial-intelligence python cross-platform quantum-computing quantum-machine-learning quantum-chemistry automatic-differentiation hybrid-quantum-classical tensorflow pytorch jax qiskit cirq

Member repositories

For agents

markdown · JSON · MCP: product_card(name="PennyLaneAI/pennylane")