PennyLane is an open-source Python framework for quantum programming, built by researchers for research. It allows users to program quantum computers, integrate with machine learning, and master quantum chemistry. It features a functional interface, seamless integration with the scientific ecosystem, and modular building blocks. PennyLane utilizes the high-performance Lightning simulator (backed by NVIDIA cuQuantum) on GPUs and the cloud, automatically using the best computational methods. The framework is community-driven with open development on GitHub and direct access to the team. PennyLane pioneers quantum differentiable programming, making everything trainable, even on quantum hardware. It offers extensive documentation, demonstrations, and learning paths.
• open-source
• community-driven development
• quantum computing
• differentiable programming
• integration with scientific ecosystem
• high-performance simulation
• quantum chemistry
• quantum machine learning
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