Overview of Quantum Learning Theory - Lecture 1

Overview of Quantum Learning Theory - Lecture 1

IAS | PCMI Park City Mathematics Institute via YouTube Direct link

Quantum sample complexity = Classical sample complexity

10 of 14

10 of 14

Quantum sample complexity = Classical sample complexity

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Overview of Quantum Learning Theory - Lecture 1

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  1. 1 Intro
  2. 2 Quantum machine learning
  3. 3 Quantum learning theory
  4. 4 A Theory of the Learnable
  5. 5 Classical learner using classical examples
  6. 6 Learning model: classical PAC learning
  7. 7 Quantum PAC learning
  8. 8 Vapnik and Chervonenkis (VC) dimension
  9. 9 VC dimension characterizes PAC sample complexity
  10. 10 Quantum sample complexity = Classical sample complexity
  11. 11 Proof approach: Pretty Good Measurement
  12. 12 Sample complexity lower bound via PGM
  13. 13 Random classification noise
  14. 14 Agnostic learning

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