BEGIN:VCALENDAR
CALSCALE:GREGORIAN
METHOD:PUBLISH
PRODID:-//github.com/rianjs/ical.net//NONSGML ical.net 4.0//EN
VERSION:2.0
X-FROM-URL:https://eom.sdu.dk/events/ical/74fa5660-ba48-44e1-81bf-8639143e
 5fc1
X-WR-CALNAME:QM Research Seminar: Quantum Computing for Molecular Biology
BEGIN:VTIMEZONE
TZID:Europe/Copenhagen
X-LIC-LOCATION:Europe/Copenhagen
BEGIN:DAYLIGHT
DTSTAMP:20260520T044133Z
DTSTART:20261028T030000
SEQUENCE:0
TZNAME:CEST
TZOFFSETFROM:+0200
TZOFFSETTO:+0100
UID:1072b1dc-8e45-444c-9b03-145588dd47a5
END:DAYLIGHT
BEGIN:STANDARD
DTSTAMP:20260520T044133Z
DTSTART:20260325T020000
SEQUENCE:0
TZNAME:CEST
TZOFFSETFROM:+0100
TZOFFSETTO:+0200
UID:f0629d22-3683-447a-b5ed-51181e3f3381
END:STANDARD
END:VTIMEZONE
BEGIN:VEVENT
DESCRIPTION:[b]Speaker: Matthias Christandl [/b] (University of Copenhagen
 ) [nl]\n[b]Abstract:[/b][nl]\nMolecular biology and biochemistry interpre
 t microscopic processes in the living world in terms of molecular structu
 res and their interactions\, which are quantum mechanical by their very n
 ature. Whereas the theoretical foundations of these interactions are very
  well established\, the computational solution of the relevant quantum me
 chanical equations is very hard. However\, much of molecular function in 
 biology can be understood in terms of classical mechanics\, where the int
 eractions of electrons and nuclei have been mapped onto effective classic
 al surrogate potentials that model the interaction of atoms or even large
 r entities. The simple mathematical structure of these potentials offers 
 huge computational advantages\; however\, this comes at the cost that all
  quantum correlations and the rigorous many-particle nature of the intera
 ctions are omitted. In this work\, we discuss how quantum computation may
  advance the practical usefulness of the quantum foundations of molecular
  biology by offering computational advantages for simulations of biomolec
 ules. We not only discuss typical quantum mechanical problems of the elec
 tronic structure of biomolecules in this context\, but also consider the 
 dominating classical problems (such as protein folding and drug design) a
 s well as data-driven approaches of bioinformatics and the degree to whic
 h they might become amenable to quantum simulation and quantum computatio
 n.[nl]
DTEND:20230424T140000Z
DTSTAMP:20260520T044133Z
DTSTART:20230424T130000Z
LOCATION:Syddansk Universitet\, Campusvej 55\, 5230\, Odense M
SEQUENCE:0
SUMMARY:QM Research Seminar: Quantum Computing for Molecular Biology
UID:86bf11b2-dcf3-46ce-a488-f1fa74a1bd14
END:VEVENT
END:VCALENDAR