Papers › Stochastic parameter optimization analysis of dynamical quantum critical phenomena in...

Stochastic parameter optimization analysis of dynamical quantum critical phenomena in long-range transverse-field Ising chain

23 May 2023arXiv:2305.14121links table onlyarchive 2025-07-28

Sora Shiratani, Synge Todo

The archive published only this paper's code-link row. Authors, date and abstract are from arXiv's metadata (CC0), read from the Kaggle arXiv metadata snapshot of 2026-09-12 where its title matched the archive's; the title is the archive's.

The quantum phase transition of the one-dimensional long-range transverse-field Ising model is explored by combining the quantum Monte Carlo method and stochastic parameter optimization, specifically achieved by tuning correlation ratios so that space and imaginary time are isotropic. In our simulations, the simulator automatically determines the parameters to sample from, even without prior knowledge of the critical point and universality class. The leading-order finite-size corrections are eliminated by comparing two systems with different sizes; this procedure is also performed automatically. Varying the decay exponent of the long-range interaction, σ, we investigate σ-dependence of the dynamical exponent and the other critical exponents precisely in the mean-field, non-universal, and two-dimensional classical Ising universality regimes. We successfully obtained numerical evidence supporting σ= 7/4 as the universality boundary between the latter two.

PaperPDFCode

Code

todo-group/long-range-tfi-data officialmentioned in paper report

Repository list and official/mentioned flags are the archive's, frozen 2025-07-28. Reachability, where shown, is from one Syntology probe window (2026-09-16 to 2026-09-18); repositories not probed show nothing. GitHub stars are not tracked.

Code Syntology ran Syntology

Not run by Syntology. Nothing on this page verifies that the listed code works.

Results from the paper archive 2025-07-28

No leaderboard rows for this paper in the archive.

Report a problem or propose a change · a person checks every report against the paper or source before anything changes; decisions are listed on /corrections