Curriculum
- 4 Sections
- 15 Lessons
- 1 Day
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- Foundations of Turbine Interactions & Limitations of Classical Simulations4
- 1.1Basics of wake effects, turbine interference, and farm layout inefficiencies
- 1.2Computational Fluid Dynamics (CFD) vs emerging simulation techniques
- 1.3Quantum computing: principles, qubits, superposition, entanglement
- 1.4Key Terms: Wake loss, vortex shedding, wind shear, interference modeling, classical vs quantum optimization, decoherence
- Quantum Computing in Wind Simulation — What’s Possible Today5
- 2.1Current state of quantum computing (hardware & software platforms)
- 2.2How quantum algorithms like QAOA and VQE model multi-variable interdependencies
- 2.3Case studies of simulation in aerospace & energy domains
- 2.4What makes wind turbine layout a high-potential use case
- 2.5Key Terms: Qiskit, QAOA (Quantum Approximate Optimization Algorithm), VQE (Variational Quantum Eigensolver), hybrid quantum-classical algorithms, IBM Q, Google Sycamore, quantum supremacy
- Real-World Deployments & Industry Experiments3
- Interactive Simulation3
Activity 2: Case scenario: Reconfigure a wind farm layout based on quantum output
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