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相关论文: Approaches to the sign problem in lattice field th…

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A previously derived three-dimensional effective lattice theory describing the thermodynamics of QCD with heavy quarks in the cold and dense region is extended through order $\sim u^5\kappa^8$ in the combined character and hopping expansion…

高能物理 - 格点 · 物理学 2016-04-20 Jonas Glesaaen , Mathias Neuman , Owe Philipsen

Many scalar field theory models with complex actions are invariant under the antilinear ($PT$) symmetry operation $L^{\ast}(-\chi)=L(\chi)$. Models in this class include the $i\phi^{3}$ model, the Bose gas at finite density and Polyakov…

高能物理 - 格点 · 物理学 2018-11-28 Michael C. Ogilvie , Leandro Medina

A method is presented to tackle the sign problem in the simulations of systems having indefinite or complex-valued measures. In general, this new approach is shown to yield statistical errors smaller than the crude Monte Carlo using…

高能物理 - 格点 · 物理学 2008-11-26 T D Kieu , C J Griffin

Using canonical quantisation, and eschewing the Schwinger-Keldysh path integral, we derive a version of the Worldline Quantum Field Theory (WQFT) formalism suitable for both scattering and bound configurations of the classical two-body…

高能物理 - 理论 · 物理学 2026-03-06 Riccardo Gonzo , Gustav Mogull

We explore different ways of incorporating accurate trial wave functions into free projection auxiliary field quantum Monte Carlo (fp-AFQMC). Trial states employed include coupled cluster singles and doubles, multi-Slater, and symmetry…

化学物理 · 物理学 2021-04-15 Ankit Mahajan , Sandeep Sharma

We present a simulation strategy for the real-time dynamics of quantum fields, inspired by reinforcement learning. It builds on the complex Langevin approach, which it amends with system specific prior information, a necessary prerequisite…

高能物理 - 格点 · 物理学 2023-10-13 Daniel Alvestad , Alexander Rothkopf , Dénes Sexty

The sign problem is a major obstacle in quantum Monte Carlo simulations for many-body fermion systems. We examine this problem with a new perspective based on the Majorana reflection positivity and Majorana Kramers positivity. Two…

强关联电子 · 物理学 2018-01-19 Z. C. Wei , Congjun Wu , Yi Li , Shiwei Zhang , T. Xiang

We clarify regions where the canonical approach works well at the finite temperature and density in the Nambu-Jona-Lasinio (NJL) and Polyakov-NJL (PNJL) models. The canonical approach is a useful method for avoiding the sign problem in…

高能物理 - 唯象学 · 物理学 2020-09-02 Masayuki Wakayama , Seung-il Nam , Atsushi Hosaka

Density-functional theory (DFT) has revolutionized computer simulations in chemistry and material science. A faithful implementation of the theory requires self-consistent calculations. However, this effort involves repeatedly diagonalizing…

量子物理 · 物理学 2023-07-17 Taehee Ko , Xiantao Li , Chunhao Wang

Developments in QCD at finite density are reviewed. I begin by discussing some new algorithms which have been applied to other theories with sign problems. Then I discuss the method of analytic continuation in QCD using a series expansion…

高能物理 - 格点 · 物理学 2011-01-04 Sourendu Gupta

We initiate a study of the complexity of quantum field theories (QFTs) by proposing a measure of information contained in a QFT and its observables. We show that from minimal assertions, one is naturally led to measure complexity by two…

高能物理 - 理论 · 物理学 2025-07-16 Thomas W. Grimm , Mick van Vliet

The triangular lattice antiferromagnet with $S=1/2$ spins and nearest neighbor interactions is known to have long-range antiferromagnetic order, with nearest-neighbor spins at an angle of 120 degrees. Numerical studies of quantum phases…

强关联电子 · 物理学 2025-09-09 Leyna Shackleton , Subir Sachdev

We propose a path optimization method (POM) to evade the sign problem in the Monte-Carlo calculations for complex actions. Among many approaches to the sign problem, the Lefschetz-thimble path-integral method and the complex Langevin method…

高能物理 - 格点 · 物理学 2019-11-05 Akira Ohnishi , Yuto Mori , Kouji Kashiwa

Monte Carlo simulations are a powerful tool for elucidating the properties of complex systems across many disciplines. Not requiring any a priori knowledge, they are particularly well suited for exploring new phenomena. However, when…

强关联电子 · 物理学 2016-03-02 Mauro Iazzi , Alexey A. Soluyanov , Matthias Troyer

Today's quantum field theory (QFT) relies heavenly on canonical quantization (CQ), which fails for $\varphi^4_4$ leading only to a "free" result. Affine quantization (AQ), an alternative quantization procedure, leads to a "non-free" result…

综合物理 · 物理学 2021-08-25 John R. Klauder

After a brief introduction to the statistical description of data, these lecture notes focus on quantum field theories as they emerge from lattice models in the critical limit. For the simulation of these lattice models, Markov chain…

高能物理 - 格点 · 物理学 2007-11-20 Kurt Langfeld

In Monte Carlo simulations of lattice field theory with a $\theta$ term, one confronts the complex weight problem, or the sign problem. This is circumvented by performing the Fourier transform of the topological charge distribution $P(Q)$.…

高能物理 - 格点 · 物理学 2017-02-01 Masahiro Imachi , Yasuhiko Shinno , Hiroshi Yoneyama

Quantum Monte Carlo (QMC) simulations constitute nowadays one of the most powerful methods to study strongly correlated quantum systems, provided that no "sign problem" arises. However, many systems of interest, including highly frustrated…

强关联电子 · 物理学 2022-03-30 Andreas Honecker , Lukas Weber , Philippe Corboz , Frédéric Mila , Stefan Wessel

I review recent developments in the study of strongly interacting field theories with non-zero chemical potential mu. In particular I focus on (a) the determination of the QCD critical endpoint in the (mu,T) plane; (b) superfluid…

高能物理 - 格点 · 物理学 2015-06-25 Simon Hands

We show how sign problems in simulations of many-body systems can manifest themselves in the form of heavy-tailed correlator distributions, similar to what is seen in electron propagation through disordered media. We propose an alternative…

高能物理 - 格点 · 物理学 2011-12-20 Michael G. Endres , David B. Kaplan , Jong-Wan Lee , Amy N. Nicholson