Python library for quantum computing, quantum ML, and quantum chemistry
17 days ago
- #quantum-computing
- #machine-learning
- #open-source
- PennyLane is a Python library for quantum computing, machine learning, and chemistry.
- It supports building quantum circuits, running on simulators or hardware, and includes features like mid-circuit measurements.
- Offers tools for mastering quantum algorithms, from NISQ to fault-tolerant computing.
- Integrates with machine learning frameworks like PyTorch, TensorFlow, JAX, Keras, and NumPy for hybrid models.
- Provides access to quantum datasets to accelerate research and algorithm development.
- Supports just-in-time compilation and advanced features like adaptive circuits and real-time feedback.
- Requires Python 3.11+ and can be installed via pip or Docker.
- Includes resources like demos, coding challenges, FAQs, and documentation for learning and development.
- Encourages contributions, bug reports, and feature suggestions, with contributors listed in releases and papers.
- Community engagement through discussion forums and adherence to a Code of Conduct.
- Free and open-source under the Apache License 2.0, with research encouraged to cite the PennyLane paper.