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VERSION:2.0
PRODID:-//University of Liverpool Computer Science Seminar System//v2//EN
BEGIN:VEVENT
DTSTAMP:20260922T122037Z
UID:Seminar-dept-1270@lxserverM.csc.liv.ac.uk
ORGANIZER:CN=Lutz Oettershagen:MAILTO:Lutz.Oettershagen@liverpool.ac.uk
DTSTART:20250326T140000
DTEND:20250326T150000
SUMMARY:School Seminar Series
DESCRIPTION:Gerard Milburn: Quantum physical machine learning\n\nWhy does AI consume so much energy?  What are the physical constraints on machines that learn? I will discuss the thermodynamics of learning machines with a particular emphasis on quantum constraints in physical neural networks and kernel machines.  A careful examination of experimental implementations using superconducting circuits and nano electronics illustrate the physical principles.   Quite apart from a thermodynamic advantage, does quantum offer any computational advantage? Current indications suggest that while quantum offers energy efficiency it may not give a computational advantage. I will offer a more optimistic assessment based on recent work in quantum chaos.\n\nhttps://www.csc.liv.ac.uk/research/seminars/abstract.php?id=1270
LOCATION:Heleshaw Lecture Theatre, School of Engineering
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