Factorization Method for Simulating QCD at Finite Density
Jun Nishimura (KEK)

TL;DR
This paper introduces a novel factorization-based simulation method for finite density QCD that overcomes the overlap problem, validated through exact results in a related Random Matrix Theory model.
Contribution
The paper presents a new general approach for simulating systems with complex actions, effectively eliminating the overlap problem in finite density QCD simulations.
Findings
Successfully reproduces exact quark number density results in a Random Matrix Theory model.
Provides a general framework applicable to any system with a complex action.
Eliminates the overlap problem through constrained simulations.
Abstract
We propose a new method for simulating QCD at finite density. The method is based on a general factorization property of distribution functions of observables, and it is therefore applicable to any system with a complex action. The so-called overlap problem is completely eliminated by the use of constrained simulations. We test this method in a Random Matrix Theory for finite density QCD, where we are able to reproduce the exact results for the quark number density.
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