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Lectures on hybrid quantum-classical machine learning given during "VI Pyrenees Winter School Quantum Information Meeting for Barcelona's Community" on 14-17.02.2023, Setcases, Spain
MarcinPlodzien/Quantum-Machine-Learning-Introduction
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This repository contains lectures I gave during the"VI Pyrenees Winter School Quantum Information Meeting for Barcelona's Community" (Setcases, Spain, 14-17.02.2023).
Outline:
- Introduction to Automatic Differentiation
- Implementing quantum gates from scratch: Simulating circuits and qubit gates
- Example: Variational Quantum Eigensolver (VQE) implementation from scratch with PyTorch
- Example: Quantum Approximate Optimization Algorithm (QAOA) implementation from scratch with PyTorch
For a comprehensive introduction to machine learning for quantum technologies, see:"Modern applications of machine learning in quantum sciences"https://arxiv.org/abs/2204.04198
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Lectures on hybrid quantum-classical machine learning given during "VI Pyrenees Winter School Quantum Information Meeting for Barcelona's Community" on 14-17.02.2023, Setcases, Spain
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