Learn about Differentiable Programming in this comprehensive AI & Artificial Intelligence tutorial. The PennyLane philosophy.
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PennyLane treats quantum circuits as mathematical nodes in a larger computational graph. This means you can train a quantum circuit as easily as a classical layer in a neural network.
Write your algorithm once and execute it on simulators or real devices from any provider. This flexibility is what makes PennyLane a favorite in academia and industry.
Pascual Vila
Frontend Instructor // Code Syllabus
A quantum circuit treated as a differentiable function.
// QNode contextA pre-defined layer structure in PennyLane.
// Template contextCapable of having a derivative computed.
// Differentiable contextIntro To Quantum Machine Learning
Intro To Quantum Mechanics
Quantum Approximate Optimization QAOA
Quantum Circuits Basics
Capstone Building A Quantum Classifier
Challenges In Quantum Hardware