Journal Article FZJ-2022-04375

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Mitigating the Hubbard sign problem with complex-valued neural networks

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2022
Inst. Woodbury, NY

Physical review / B 106(12), 125139 () [10.1103/PhysRevB.106.125139]

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Contributing Institute(s):
  1. Theorie der Starken Wechselwirkung (IAS-4)
  2. Jülich Supercomputing Center (JSC)
Research Program(s):
  1. 5111 - Domain-Specific Simulation & Data Life Cycle Labs (SDLs) and Research Groups (POF4-511) (POF4-511)

Appears in the scientific report 2022
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Open Access

 Datensatz erzeugt am 2022-11-07, letzte Änderung am 2023-02-17


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