PennyLane
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About
PennyLane is the definitive open-source Python framework for quantum programming, built by researchers for research. It enables users to program quantum computers, integrate with machine learning, and master quantum chemistry. Key features include dynamic wire allocation, resource estimation, and quantum optimization with qjit. PennyLane offers accelerated performance, utilizing the high-performance Lightning simulator backed by NVIDIA cuQuantum for GPU and cloud simulations. It prioritizes minimizing time-to-research with a functional interface and modular building blocks, and simplifies complex quantum computing concepts through extensive documentation and demonstrations. PennyLane is community-driven, with open development on GitHub, and pioneers quantum differentiable programming, allowing everything to be trainable, even on quantum hardware.
Platform
Features
• open-source python framework for quantum programming
• extensive documentation and demonstration library
• community-driven development with open github
• pioneers quantum differentiable programming
• quantum optimization with qjit
• dynamic wire allocation and resource estimation
• accelerated performance with lightning simulator (nvidia cuquantum)
• integrates with machine learning and quantum chemistry
Pricing Plans
Free
Free Plan• Open-source Python framework
• Quantum programming capabilities
• Integration with machine learning
• Quantum chemistry applications
• High-performance Lightning simulator
• Dynamic wire allocation
• Resource estimation
• Quantum optimization with qjit
• Quantum differentiable programming
• Community support
Job Opportunities
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