A Hybrid Method for Global Updates in Monte Carlo Study
Tomo Munehisa, Yasuko Munehisa

TL;DR
This paper introduces a hybrid algorithm for global updates in Monte Carlo simulations, demonstrating its effectiveness on quantum spin chains with results matching exact numerical methods.
Contribution
The paper presents a novel hybrid method for global updates in Monte Carlo simulations, applied successfully to quantum spin chains with next-nearest-neighbor interactions.
Findings
Monte Carlo results agree with transfer matrix method
Effective global update algorithm for quantum spin systems
Potential for improved simulation accuracy
Abstract
We propose a new algorithm which works effectively in global updates in Monte Carlo study. We apply it to the quantum spin chain with next-nearest-neighbor interactions. We observe that Monte Carlo results are in excellent agreement with numerically exact ones obtained by the transfer matrix method.
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