Quantum computing can be hard — PennyLane makes it easier. Browse our rich library of demonstrations and extensive documentation. Quickly become an expert in quantum computing, quantum machine learning and quantum chemistry.
Learn about quantumPennyLane is community-focused — we want to build a framework that works for you. Development of PennyLane takes place publicly on GitHub, and you can talk to our developers and researchers directly on our Discussion Forum.
Join the discussionPennyLane is unopinionated where it matters. With a functional interface, seamless integration with the scientific ecosystem, and modular building blocks, we get out of the way to help you easily build cutting-edge quantum algorithms.
Using PennyLanePennyLane pioneers a new paradigm — quantum differentiable programming. Everything is trainable, even when using quantum hardware. Don’t just train parameters; train the entire structure of your quantum model.
Quantum differentiable programmingScale up your research. Use the high-performance Lightning simulator — backed by NVIDIA cuQuantum — on GPUs and the cloud. But it goes beyond; PennyLane will automatically use the best computational methods for your workflow.
Find out moreHere are a few beginner-friendly tutorials to help you get started
Learn and master the concepts behind quantum computing.
Use PennyLane to explore various quantum computing topics in the Quantum Codebook.
Get started with PennyLane using our quickstart guides, learn how to develop a plugin, and browse the full API.
Videos to help you get started