Fermions at Finite Density in (2+1)d with Sign-Optimized Manifolds
arXiv:1808.09799 · doi:10.1103/PhysRevLett.121.191602
Abstract
We present Monte Carlo calculations of the thermodynamics of the (2+1) dimensional Thirring model at finite density. We bypass the sign problem by deforming the domain of integration of the path integral into complex space in such a way as to maximize the average sign within a parameterized family of manifolds. We present results for lattice sizes up to and we find that at high densities and/or temperatures the chiral condensate is abruptly reduced.
5 pages, 4 figures
References in corpus (14)
- Finite density QCD with a canonical approach
- Stochastic quantization at finite chemical potential
- Structure of Lefschetz thimbles in simple fermionic systems
- Finite-Density Monte Carlo Calculations on Sign-Optimized Manifolds
- UV fixed-point structure of the three-dimensional Thirring model
- Critical behavior of the (2+1)-dimensional Thirring model
- Schwinger-Keldysh on the lattice: a faster algorithm and its application to field theory
- Deep Learning Beyond Lefschetz Thimbles
- Critical Flavor Number in the Three Dimensional Thirring Model
- Monte Carlo calculations of the finite density Thirring model
- Lefschetz-thimble techniques for path integral of zero-dimensional sigma models
- One-dimensional QCD in thimble regularization
- Finite Density Near Lefschetz Thimbles
- Critical flavour number of the Thirring model in three dimensions
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