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SUMMARY:Vedran Dunjko (Leiden University)
DTSTART:20241217T150000Z
DTEND:20241217T160000Z
DTSTAMP:20260423T021421Z
UID:TalentQ/16
DESCRIPTION:Title: <a href="https://researchseminars.org/talk/TalentQ/16/"
 >Topics in quantum topological data analysis</a>\nby Vedran Dunjko (Leid
 en University) as part of Quantum Spain\n\n\nAbstract\nAlthough still argu
 ably an emerging field in classical machine learning\, topological data an
 alysis has already raised substantial interest from the perspective of qua
 ntum algorithms in the last few years\, and for good reasons. In this talk
  we will explain why this is the case. \nWe will introduce the topic of to
 pological data analysis and discuss the state-of-art of quantum algorithms
  for computational problems in TDA - this will include the problems of est
 imating the so-called Betti numbers and the problems of deciding pursuance
  of topological features in data. We will address their promises and limit
 ations\, possible generalizations and connections to many-body physics.\n
LOCATION:https://researchseminars.org/talk/TalentQ/16/
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