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SUMMARY:Deep learning for wavefunctions (1) - Alex Matthews (DeepMind &amp
 \; TCM)
DTSTART:20250203T100000Z
DTEND:20250203T110000Z
UID:TALK225799@talks.cam.ac.uk
CONTACT:nrc25
DESCRIPTION:See the "TCM graduate teaching page":https://www.tcm.phy.cam.a
 c.uk/impact/teaching.html for further information.\n\n\nIn this series of 
 graduate lectures we will study the application of deep neural networks to
  the approximation of wavefunctions. Since 2017 there has been a surge of 
 interest in this area and this looks set to accelerate. Knowledge of quant
 um mechanics will be assumed up to early graduate level but familiarity wi
 th deep neural networks is not essential.\n\n\nIn the first half of this l
 ecture we will motivate deep learning conceptually focussing on topics rel
 evant to our end goal. This will not be a full introduction to deep neural
  networks (which would usually involve a practical element in any case) bu
 t should be sufficient to introduce the concepts we need.\nIn the second h
 alf of the lecture we will discuss the application of deep learning to spi
 n systems which came first historically.\n
LOCATION:TCM Seminar Room (530)\, Cavendish Laboratory\, Department of Phy
 sics
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