Quantum classification of the MNIST dataset via Slow Feature Analysis


Quantum machine learning carries the promise to revolutionize information and communication technologies. While a number of quantum algorithms with potential exponential speedups have been proposed already, it is quite... [ view full abstract ]


  1. Alessandro Luongo (CNRS, IRIF, Université Paris Diderot / Bull - Atos)
  2. Iordanis Kerenidis (CNRS, IRIF, Université Paris Diderot)

Topic Area

Quantum information processing and computing


PS2 » Poster Session (13:30 - Thursday, 6th September, Hall)

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