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SUMMARY:Diffusion Sampler For Lattice Field Theory
DTSTART;VALUE=DATE-TIME:20261011T071000Z
DTEND;VALUE=DATE-TIME:20261011T072500Z
DTSTAMP;VALUE=DATE-TIME:20261005T052950Z
UID:indico-contribution-2865@indico.itp.ac.cn
DESCRIPTION:Speakers: 川杨 李 (Swansea University)\nSampling algorithms
  for lattice field theories face persistent efficiency challenges near the
  continuum limit\, including critical slowing down and\, in certain fermio
 nic theories\, poor ergodicity across degenerate vacua. Generative diffusi
 on models\, recently shown to correspond to stochastic quantization\, offe
 r a promising alternative and have been demonstrated for scalar and pure g
 auge theories\; their extension to fermionic systems\, central to full QCD
  with dynamical quarks\, has remained largely unexplored.\n\nWe present a 
 diffusion-based sampler for the two-dimensional Gross-Neveu model\, a four
 -fermion lattice theory. The sampler is combined with an exact Monte Carlo
  correction step\, guaranteeing unbiased sampling from the target distribu
 tion. We validate the method in the asymptotically free regime and across 
 the finite-volume crossover\, with observables cross-checked against an in
 dependent reference implementation. This work extends diffusion-based samp
 ling to the fermionic sector and suggests a possible route toward accelera
 ting simulations with dynamical fermions.\n\nhttps://indico.itp.ac.cn/even
 t/437/contributions/2865/
LOCATION:会议楼2 CXII103
URL:https://indico.itp.ac.cn/event/437/contributions/2865/
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