Advanced3 MonthsQuantum Computing
Quantum Machine Learning
Combine quantum computing and machine learning to solve complex problems that are intractable classically.
Course Overview
An advanced course at the intersection of quantum computing and machine learning. Covers quantum neural networks, variational quantum circuits, and hybrid quantum-classical algorithms.
Curriculum
1
QML Foundations
Linear Algebra ReviewQuantum Data EncodingKernel MethodsParameterized Circuits
2
Quantum Neural Networks
VQC ArchitectureTraining QNNsBarren PlateausExpressibility
3
Hybrid Algorithms
VQE for ChemistryQAOA for OptimizationQuantum Transfer LearningBenchmarking
4
Applications & Tools
PennyLaneTensorFlow QuantumDrug DiscoveryFinancial Optimization
What You'll Learn
- Implement variational quantum circuits
- Build quantum neural networks
- Apply quantum speedup to ML tasks
- Use PennyLane for quantum ML experiments
- Understand the limits of current NISQ devices
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