Speaker
Yusuke Namekawa
(Fukuyama University)
Description
We apply the Worldvolume Hybrid Monte Carlo (WV-HMC) method [arXiv:2012.08468] to the two-dimensional doped Hubbard model, a system structurally similar to finite-density QCD. This model is known to suffer from a severe sign problem at low temperatures and away from half filling (doped), which renders traditional Determinantal Quantum Monte Carlo (DQMC) approaches ineffective. We demonstrate that WV-HMC enables the computation of physical observables with well-controlled statistical errors, even in parameter regimes where DQMC fails severely. [Based on arXiv:2507.23748, 2508.02659, and ongoing work.]
| Parallel Session (for talks only) | Algorithms and artificial intelligence |
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Authors
Masafumi Fukuma
(Kyoto University)
Yusuke Namekawa
(Fukuyama University)
