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  • From: Máté Zoltán <mate AT atomki.mta.hu>
  • To: Fizinfo <fizinfo AT lists.kfki.hu>
  • Subject: [Fizinfo] Atomki-szeminárium
  • Date: Tue, 7 Apr 2015 16:01:26 +0200 (CEST)
  • Authentication-results: smtp2.kfki.hu (amavisd-new); dkim=pass (2048-bit key) header.d=atomki.mta.hu

Az MTA Atommagkutató Intézet előadótermében
(Debrecen, Bem tér 18/c. 12. ép. III. em.)
2015. április 9-én, csütörtökön 11:00-kor


Wittek Péter
(The Institute of Photonic Sciences
Castelldefels (Barcelona))

A Look at Quantum Machine Learning: What Can We Expect?


címmel előadást tart.
Az előadás előtt 10:30-kor tea. Vendégeket szívesen látunk.


Máté Zoltán


Kivonat:
Machine learning uses efficient algorithms to uncover patterns in large data
sets and it
fundamentally changes our perspective on data processing. What makes a
learning algorithm
efficient? The goal is to find a balance between sample, model, and
computational
complexities. Moving algorithms to the quantum domain promises improvements
in all three
aspects of this balance. This talk gives an introduction to the core concepts
in learning
theory, and then looks at the major directions in quantum machine learning to
analyse
what we can gain.



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