This title appears in the Scientific Report :
2022
Please use the identifier:
http://dx.doi.org/10.1103/PhysRevB.106.125139 in citations.
Please use the identifier: http://hdl.handle.net/2128/32547 in citations.
Mitigating the Hubbard sign problem with complex-valued neural networks
Mitigating the Hubbard sign problem with complex-valued neural networks
Saved in:
Personal Name(s): | Rodekamp, Marcel (Corresponding author) |
---|---|
Berkowitz, Evan / Gäntgen, Christoph / Krieg, Stefan / Luu, Thomas / Ostmeyer, Johann | |
Contributing Institute: |
Theorie der Starken Wechselwirkung; IAS-4 Jülich Supercomputing Center; JSC |
Published in: | Physical Review B Physical review / B, 106 106 (2022 2022) 12 12, S. 125139 125139 |
Imprint: |
Woodbury, NY
Inst.
2022
2022-09-22 2022-09-01 |
DOI: |
10.1103/PhysRevB.106.125139 |
Document Type: |
Journal Article |
Research Program: |
Domain-Specific Simulation & Data Life Cycle Labs (SDLs) and Research Groups |
Link: |
OpenAccess |
Publikationsportal JuSER |
Please use the identifier: http://hdl.handle.net/2128/32547 in citations.
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