Multi-reference Trial State for Lattice Quantum Monte Carlo Simulations
Teng Wang, Xu Feng, Bing-Nan Lu

TL;DR
This paper introduces a new sampling method for multi-reference trial states in nuclear lattice effective field theory, significantly improving the accuracy and efficiency of nuclear many-body simulations.
Contribution
It develops a novel sampling technique for incorporating multi-reference trial states into NLEFT, enhancing simulation precision for nuclear ground and excited states.
Findings
Improved energy calculations for $^7$Li and $^8$Li
Enhanced electromagnetic property predictions
More accurate transition probabilities
Abstract
Nuclear lattice effective field theory (NLEFT) is an efficient \textit{ab initio} tool for solving nuclear many-body systems using the imaginary-time projection technique, where the preparation of trial states is essential for substantially reducing the computational cost required to achieve the desired numerical precision. It has been challenging in forming optimal multi-reference trial states using multiple Slater determinants within auxiliary-field based quantum Monte Carlo frameworks like NLEFT. In this work, we develop a novel sampling method for efficiently incorporating such multi-reference trial states into NLEFT calculations. We applied the optimized trial state to Li and Li, finding overall improvements in calculated energies, electromagnetic properties, and transitions compared to results obtained without these optimizations. Our approach provides a reliable…
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Taxonomy
TopicsNuclear physics research studies · Rare-earth and actinide compounds · Quantum Chromodynamics and Particle Interactions
