BEGIN:VCALENDAR
VERSION:2.0
PRODID:-//CERN//INDICO//EN
BEGIN:VEVENT
SUMMARY:Fast thermal equilibration using machine learning
DTSTART;VALUE=DATE-TIME:20260413T164000Z
DTEND;VALUE=DATE-TIME:20260413T170000Z
DTSTAMP;VALUE=DATE-TIME:20260411T060012Z
UID:indico-contribution-342@fisindico.uniandes.edu.co
DESCRIPTION:Speakers: Diego Rengifo (Technical University Berlin )\nFast t
 hermal equilibration\, also known as a shortcut to adiabaticity\, is an ex
 ternal control technique employed to expedite operations beyond the system
 ’s natural timescale. In this talk\, we will introduce a machine learnin
 g technique\, specifically automatic differentiation\, to identify control
  protocols that accelerate the equilibration process in stochastic systems
  modeled by the overdamped Langevin equation.\n\nhttps://fisindico.uniande
 s.edu.co/event/23/contributions/342/
LOCATION:Universidad Nacional de Colombia Ed. 564
URL:https://fisindico.uniandes.edu.co/event/23/contributions/342/
END:VEVENT
END:VCALENDAR
