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VERSION:2.0
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BEGIN:VEVENT
SUMMARY:Quantum algorithms for jet clustering
DTSTART:20221026T143000Z
DTEND:20221026T163000Z
DTSTAMP:20260624T163410Z
UID:bbd62e8d-e43b-48d8-a6d0-9941b3b50b7e
SEQUENCE:1
CREATED:20221024T131853Z
DESCRIPTION: Experimental High-Energy Physics\, especially the Large Hadro
 n Collider programme at CERN\, is one of the most computationally intensiv
 e activities in the world. This demand is set to increase significantly wi
 th the upcoming High-Luminosity LHC\, and even more in future machines\, s
 uch as the Future Circular Collider. As a consequence\, event reconstructi
 on\, and in particular jet clustering\, is bound to become an even more da
 unting problem\, thus potentially challenging present day computing resour
 ces. In this talk\, I present the two quantum algorithms to tackle this pr
 oblems and\, in particular\, the first digital quantum algorithm to for je
 t clustering\, opening the way for digital quantum processors to address t
 his challenging problem. Furthermore\, we show that\, at present and futur
 e collider energies\, our algorithms have at least comparable complexity r
 elative to the classical state-of-the-art $k_t$ clustering algorithm 
LAST-MODIFIED:20221024T131853Z
LOCATION:Sala de Seminários do DF\,  Pavilhão de Física\, 2º piso
URL:http://df.vps.tecnico.ulisboa.pt/pt/eventos/quantum-algorithms-for-jet
 -clustering/
X-ALT-DESC;FMTTYPE=text/html:<p data-block-key="59gzm"> Experimental High-
 Energy Physics\, especially the Large Hadron Collider programme at CERN\, 
 is one of the most computationally intensive activities in the world. This
  demand is set to increase significantly with the upcoming High-Luminosity
  LHC\, and even more in future machines\, such as the Future Circular Coll
 ider. <br/><br/>As a consequence\, event reconstruction\, and in particula
 r jet clustering\, is bound to become an even more daunting problem\, thus
  potentially challenging present day computing resources. In this talk\, I
  present the two quantum algorithms to tackle this problems and\, in parti
 cular\, the first digital quantum algorithm to for jet clustering\, openin
 g the way for digital quantum processors to address this challenging probl
 em. Furthermore\, we show that\, at present and future collider energies\,
  our algorithms have at least comparable complexity relative to the classi
 cal state-of-the-art $k_t$ clustering algorithm </p>
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