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Quantum Wasserstein Distance w/ regularization
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Classroom Contents
How Hard Is It to Train Variational Quantum Circuits?
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- 1 Intro
- 2 Toward Near-term Quantum Applications
- 3 Important Candidate Questions
- 4 Classical Neural Networks vs VQCs
- 5 Case Study II: Generative Models
- 6 Quantum GANS (LW18, etc) classical distributions
- 7 Robust Training of Quantum Generative Models
- 8 Compressing Quantum Circuits
- 9 Quantum Wasserstein Distance w/ regularization
- 10 Bonus : differentiable programming languages Deep Learning est mort. Vive Differentiable Programming
