Quantum Machine Learning- Prospects and Challenges

Quantum Machine Learning- Prospects and Challenges

Simons Institute via YouTube Direct link

Intro

1 of 11

1 of 11

Intro

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Quantum Machine Learning- Prospects and Challenges

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  1. 1 Intro
  2. 2 Reasons for optimist keep working on it
  3. 3 Reasons for caution keep working on it
  4. 4 Classification: Distance-based
  5. 5 Classification: Quantum Neural Networks
  6. 6 Classification: Training classical Neural Networks
  7. 7 Classification: Dimensionality Reduction
  8. 8 Classification: Quantum Dimensionality Reduction
  9. 9 Loading data for Quantum Machine Learning
  10. 10 Getting classical information from quantum states
  11. 11 Benchmarking QML

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