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X-FROM-URL:https://eom.sdu.dk/events/ical/bc6ca5f1-e615-47bc-877f-a7727427
 0d28
X-WR-CALNAME:Journal Club: How I (machine) learned the quantum many-body p
 roblem
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TZID:Europe/Copenhagen
X-LIC-LOCATION:Europe/Copenhagen
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DTSTAMP:20260425T232110Z
DTSTART:20261028T030000
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DESCRIPTION:[b]Speaker:[/b] Pietro Butti\n[b]Abstract:[/b] Neural network 
 quantum states (NNQS) represent a novel approach in quantum many-body phy
 sics using techniques inspired by artificial neural networks combined wit
 h standard variational Monte-Carlo methods. The growing computational and
  algorithmic capabilities make this method comparable to standard state-o
 f-the-art methodologies while offering promising advantages. It can lever
 age extensive research in machine learning and easily integrate with exis
 ting libraries\, simplifying code development in an unprecedented way. Th
 is accessibility and versatility make it appealing for developing new app
 lications\, even beyond quantum many-body physics itself. The purpose of 
 this talk is to provide a thorough introduction of the topic with the hel
 p of some practical example.\n[b]Location:[/b] [url=https://clients.mapsi
 ndoors.com/sdu/573f26e4bc1f571b08094312/details/19fef68999464586965ec676]
 The DIAS Meetingroom Syd (V22-503a-2)[/url]\nYou can also [url=https://sy
 ddanskuni.zoom.us/j/68803047878#success]join via Zoom[/url] (passcode: 06
 0379).\n\nThe event is open to all.
DTEND:20240329T120000Z
DTSTAMP:20260425T232110Z
DTSTART:20240329T103000Z
LOCATION:Syddansk Universitet\, Fioniavej 34\, 5230\, Odense M
SEQUENCE:0
SUMMARY:Journal Club: How I (machine) learned the quantum many-body problem
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