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Quantum Machine Learning: An Information-Theoretic Perspective

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  • UserProf. Osvaldo Simeone, King's College London Speaker website
  • ClockWednesday 28 February 2024, 14:00-15:15
  • HouseMR5, CMS Pavilion A.

If you have a question about this talk, please contact Ramji Venkataramanan.

Quantum machine learning is an emerging programming paradigm for noisy intermediate scale quantum (NISQ) computers. This talk will provide an entry-level introduction to information-theoretic aspects concerning the analysis of quantum machine learning. No background in quantum mechanics will be assumed. The presentation will also highlight research directions.

Note: This talk will be slightly longer than usual, and will be 75 minutes.

This talk is part of the Information Theory Seminar series.

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