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SUMMARY:Nuclear dynamics with quantum Monte Carlo and neural quantum state
 s
DTSTART:20260323T150000Z
DTEND:20260323T170000Z
DTSTAMP:20260413T194100Z
UID:indico-event-1622434@indico.cern.ch
DESCRIPTION:Speakers: Alessandro Lovato (Argonne National Laboratory & INF
 N - TIFPA)\n\nThe overarching goal of nuclear many-body theory is to under
 stand how protons and neutrons self-organize to form atomic nuclei. This i
 s a formidable challenge because nuclei exhibit structure over a wide rang
 e of scales\, from collective motion to clustering and short-range correla
 tions. Quantum Monte Carlo methods are particularly well suited to this pr
 oblem\, as they provide highly accurate solutions of the many-body Schröd
 inger equation\, although their application has been so far limited to lig
 ht nuclei. In this talk\, I will present recent quantum Monte Carlo result
 s for neutrino-nucleus scattering\, superallowed beta decays\, and two-bod
 y distribution functions relevant to heavy-ion collisions at CERN. I will 
 then discuss how artificial neural networks can be used to represent varia
 tional states compactly\, extending the reach of quantum Monte Carlo metho
 ds to much larger nuclear systems. I will conclude with perspectives on ac
 cessing the linear response and real-time quantum dynamics of confined qua
 ntum many-body systems.\n\nhttps://indico.cern.ch/event/1622434/\n\nZoom: 
 https://cern.zoom.us/j/67688316575?pwd=ZkM4ZFdCd2krOWJXeVlPK0p6T2JEQT09
LOCATION:4/2-037 - TH meeting room (CERN)
URL:https://indico.cern.ch/event/1622434/
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