Green Function Monte Carlo with Stochastic Reconfiguration

S. Sorella

Green Function Monte Carlo with Stochastic Reconfiguration

Not yet reviewed by Pith; the record is open.

Re-run · record.json Download PDF Read on arXiv ↗

This paper has not been read by Pith yet. Machine review is queued; the pith claim, tier, and objections will appear here once it completes.

SPECIMEN: schema-true, not a live event

T0 review · schema-true

One-sentence machine reading of the paper's core claim.

pith:XXXXXXXX · record.json · timestamp

arxiv cond-mat/9803107 v1 pith:RLCDC6TV submitted 1998-03-10 cond-mat

S. Sorella This is my paper · ORCID

classification cond-mat

keywords methodbiascarlofunctiongreenmontereconfigurationsign

verification ladder T0 review T1 audit T2 compute T3 formal

0 comments

read the original abstract

A new method for the stabilization of the sign problem in the Green Function Monte Carlo technique is proposed. The method is devised for real lattice Hamiltonians and is based on an iterative ''stochastic reconfiguration'' scheme which introduces some bias but allows a stable simulation with constant sign. The systematic reduction of this bias is in principle possible. The method is applied to the frustrated J1-J2 Heisenberg model, and tested against exact diagonalization data. Evidence of a finite spin gap for J2/J1 >~ 0.4 is found in the thermodynamic limit.

Discussion (0). Continue with ORCID to comment.

Forward citations

Cited by 1 Pith paper

Reviewed papers in the Pith corpus that reference this work. Sorted by Pith novelty score. Full citation record

A matrix free action of the Ashtekar-Lewandowski volume operator of loop quantum gravity
gr-qc 2026-06 unverdicted novelty 7.0 of 10

Develops a matrix-free SRQ-based action for the AL volume operator that exactly preserves the kernel and supports large-scale Monte Carlo and spectral estimates without dense matrices.

Pith tools