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X-WR-CALNAME:[ICQ] Grier Jones (Univ. Toronto) Quantum Machine Learning and
  Distributed Quantum Computing for Chemical Applications
X-WR-TIMEZONE:Europe/Paris
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TZID:Europe/Paris
TZUNTIL:20280326T010000Z
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DTSTART:20251026T030000
TZOFFSETFROM:+0200
TZOFFSETTO:+0100
RDATE:20261025T030000
RDATE:20271031T030000
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DTSTART:20260329T020000
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RDATE:20270328T020000
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UID:dfadea3e-6502-4aac-8849-f71ce6b8ce86
DTSTAMP:20260610T110942Z
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DESCRIPTION:In recent years\, machine learning (ML) has emerged as a powerf
 ul tool in chemistry\, enabling the discovery of new patterns in data\, pr
 oviding insights beyond simple models\, accelerating computations\, and fa
 cilitating the exploration of chemical space. For computational chemists\,
  a primary motivation for applying ML is to bypass the explicit calculatio
 n of molecular properties\, which can be computationally prohibitive for l
 arge data sets. ML has been successfully applied to a wide range of proble
 ms\, including accelerating molecular simulations\, predicting molecular p
 roperties\, and discovering new catalysts\, drugs\, and materials. More re
 cently\, quantum machine learning (QML) has attracted significant interest
  due to its potential to offer quantum speedups for certain applications a
 cross a variety of implementations. In this talk\, we present an overview 
 of our QML research within the Quantum Software Consortium and\, if time p
 ermits\, highlight recent advances in distributed quantum computing (DQC) 
 within the quantum-centric supercomputing (QCSC) framework for quantum che
 mical applications.\n\n\n\nhttps://combalgo.labri.fr/pmwiki.php/Groupe/Inf
 o-Quantique\n\nImport automatique depuis https://webmel.u-bordeaux.fr/home
 /bf-labri.ca@u-bordeaux.fr/gt.info-quantique.ics par sync_icals_to_drupal.
 py pour gt-iq
DTSTART;TZID=Europe/Paris:20260526T104500
DTEND;TZID=Europe/Paris:20260526T120000
LOCATION:LaBRI
SEQUENCE:0
SUMMARY:[ICQ] Grier Jones (Univ. Toronto) Quantum Machine Learning and Dist
 ributed Quantum Computing for Chemical Applications
TRANSP:OPAQUE
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