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Path Integral Monte Carlo simulations have been performed for U(1) lattice gauge theory in (2+1) dimensions on anisotropic lattices. We extractthe static quark potential, the string tension and the low-lying "glueball" spectrum.The…

High Energy Physics - Lattice · Physics 2009-11-07 Mushtaq Loan , Michael Brunner , Clare Sloggett , Chris Hamer

We propose a generalization of the Quantum Monte Carlo loop algorithm to the t-J model by a mapping to three coupled six-vertex models. The autocorrelation times are reduced by orders of magnitude compared to the conventional local…

Strongly Correlated Electrons · Physics 2007-05-23 Beat Ammon , Hans Gerd Evertz , Naoki Kawashima , Matthias Troyer , Beat Frischmuth

Quantum computing and quantum Monte Carlo (QMC) are respectively the state-of-the-art quantum and classical computing methods for understanding many-body quantum systems. Here, we propose a hybrid quantum-classical algorithm that integrates…

Quantum Physics · Physics 2025-11-17 Yukun Zhang , Yifei Huang , Jinzhao Sun , Dingshun Lv , Xiao Yuan

We present an algorithm for Monte Carlo simulations which is able to overcome the suppression of transitions between the phases in compact U(1) lattice gauge theory in 4 dimensions.

High Energy Physics - Lattice · Physics 2009-10-28 W. Kerler , C. Rebbi , A. Weber

We describe an approach for many-body calculations with a finite-temperature, grand canonical ensemble formalism using auxiliary-field quantum Monte Carlo (AFQMC) with a self-consistent constraint to control the sign problem. The usual…

Strongly Correlated Electrons · Physics 2019-06-18 Yuan-Yao He , Mingpu Qin , Hao Shi , Zhong-Yi Lu , Shiwei Zhang

Monte Carlo simulations are one of the major tools in statistical physics, complex system science, and other fields, and an increasing number of these simulations is run on distributed systems like clusters or grids. This raises the issue…

Other Condensed Matter · Physics 2007-07-03 Heiko Bauke , Stephan Mertens

This article aims to summarize recent and ongoing efforts to simulate continuous-variable quantum systems using flow-based variational quantum Monte Carlo techniques, focusing for pedagogical purposes on the example of bosons in the field…

Quantum Physics · Physics 2022-03-29 James Stokes , Brian Chen , Shravan Veerapaneni

Simulating thermal-equilibrium properties at finite temperature is crucial for studying quantum many-body systems. Quantum computers are expected to enable us to simulate large systems at finite temperatures, overcoming challenges faced by…

In this project we initiate an investigation of the applicability of Quasi-Monte Carlo methods to lattice field theories in order to improve the asymptotic error behavior of observables for such theories. In most cases the error of an…

High Energy Physics - Lattice · Physics 2015-06-12 K. Jansen , H. Leovey , A. Nube , A. Griewank , M. Mueller-Preussker

Software package for Monte-Carlo simulation of e+e- exclusive annihilation channels written in the C++ language for Linux/Solaris platforms has been developed. It incorporates matrix elements for several mechanisms of multipion production…

High Energy Physics - Phenomenology · Physics 2007-05-23 D. Anipko , S. Eidelman , A. Pak

Quantum error correction (QEC) is critical for scalable fault-tolerant quantum computing. Topological codes, such as the toric code, offer hardware-efficient architectures but their Tanner graphs contain many girth-4 cycles that degrade the…

Quantum Physics · Physics 2026-03-24 Luca Menti , Francisco Lázaro

We present the ground state extension of the efficient quantum Monte Carlo algorithm for lattice fermions of arXiv:1411.0683. Based on continuous-time expansion of imaginary-time projection operator, the algorithm is free of systematic…

Strongly Correlated Electrons · Physics 2015-07-02 Lei Wang , Mauro Iazzi , Philippe Corboz , Matthias Troyer

Monte Carlo simulations are a unique tool to check the response of a detector and to monitor its performance. For a deep-sea neutrino telescope, the variability of the environmental conditions that can affect the behaviour of the data…

High Energy Astrophysical Phenomena · Physics 2021-02-03 The ANTARES Collaboration , A. Albert , M. André , M. Anghinolfi , G. Anton , M. Ardid , J. -J. Aubert , J. Aublin , B. Baret , S. Basa , B. Belhorma , V. Bertin , S. Biagi , M. Bissinger , J. Boumaaza , M. Bouta , M. C. Bouwhuis , H. Branzas , R. Bruijn , J. Brunner , J. Busto , A. Capone , L. Caramete , J. Carr , S. Cecchini , S. Celli , M. Chabab , T. N. Chau , R. Cherkaoui El Moursli , T. Chiarusi , M. Circella , A. Coleiro , M. Colomer-Molla , R. Coniglione , P. Coyle , A. Creusot , A. F. Diaz , G. de Wasseige , A. Deschamps , C. Distefano , I. Di Palma , A. Domi , C. Donzaud , D. Dornic , D. Drouhin , T. Eberl , N. El Khayati , A. Enzenhofer , A. Ettahiri , P. Fermani , G. Ferrara , F. Filippini , L. Fusco , P. Gay , H. Glotin , R. Gozzini , K. Graf , C. Guidi , S. Hallmann , H. van Haren , A. J. Heijboer , Y. Hello , J. J. Hernandez-Rey , J. Hossl , J. Hofestadt , F. Huang , G. Illuminati , C. W. James , M. de Jong , P. de Jong , M. Jongen , M. Kadler , O. Kalekin , U. Katz , N. R. Khan-Chowdhury , A. Kouchner , I. Kreykenbohm , V. Kulikovskiy , R. Lahmann , R. Le Breton , D. Lefevre , E. Leonora , G. Levi , M. Lincetto , D. Lopez-Coto , S. Loucatos , J. Manczak , M. Marcelin , A. Margiotta , A. Marinelli , J. A. Martinez-Mora , S. Mazzou , K. Melis , P. Migliozzi , M. Moser , A. Moussa , R. Muller , L. Nauta , S. Navas , E. Nezri , A. Nunez-Castineyra , B. O'Fearraigh , M. Organokov , G. E. Pavalas , C. Pellegrino , M. Perrin-Terrin , P. Piattelli , C. Poirè , V. Popa , T. Pradier , N. Randazzo , S. Reck , G. Riccobene , F. Salesa , A. Sanchez-Losa , D. F. E. Samtleben , M. Sanguineti , P. Sapienza , J. Schnabel , F. Schussler , M. Spurio , Th. Stolarczyk , B. Strandberg , M. Taiuti , Y. Tayalati , T. Thakore , S. J. Tingay , B. Vallage , V. Van Elewyck , F. Versari , S. Viola , D. Vivolo , J. Wilms , A. Zegarelli , J. D. Zornoza , J. Zuniga

We present an implementation of phaseless Auxiliary-Field Quantum Monte Carlo (ph-AFQMC) utilizing graphical processing units (GPUs). The AFQMC method is recast in terms of matrix operations which are spread across thousands of processing…

Computational Physics · Physics 2018-09-07 James Shee , Evan J. Arthur , Shiwei Zhang , David R. Reichman , Richard A. Friesner

We developed an implicit Particle-in-cell/Monte Carlo model in two-dimensional and axisymmetric geometry for the simulations of the radio-frequency discharges, by introducing several numerical schemes which include variable weights,…

Plasma Physics · Physics 2011-04-19 Hong-yu Wang , Wei Jiang , You-nian Wang

A continuous-time path integral Quantum Monte Carlo method using the directed-loop algorithm is developed to simulate the Anderson single-impurity model in the occupation number basis. Although the method suffers from a sign problem at low…

Strongly Correlated Electrons · Physics 2009-11-10 Jaebeom Yoo , Shailesh Chandrasekharan , Harold U. Baranger

This paper presents two conceptually simple methods for parallelizing a Parallel Tempering Monte Carlo simulation in a distributed volunteer computing context, where computers belonging to the general public are used. The first method uses…

Distributed, Parallel, and Cluster Computing · Computer Science 2011-03-31 Kamran Karimi , Neil G. Dickson , Firas Hamze

The Gyrokinetic Toroidal Code at Princeton (GTC-P) is a highly scalable and portable particle-in-cell (PIC) code. It solves the 5D Vlasov-Poisson equation featuring efficient utilization of modern parallel computer architectures at the…

Distributed, Parallel, and Cluster Computing · Computer Science 2015-10-20 Bei Wang , Stephane Ethier , William Tang , Khaled Ibrahim , Kamesh Madduri , Samuel Williams , Leonid Oliker

We present near-term quantum algorithms for auxiliary-field quantum Monte Carlo (AFQMC), viewed as imaginary-time projection for ground-state calculation as an ensemble of one-body propagators driven by stochastic fields $\Omega$. Starting…

Quantum Physics · Physics 2026-03-31 Xiantao Li

We formulate a path-integral Monte Carlo algorithm for simulating lattice systems consisting of fictitious particles governed by a generalized exchange statistics. This method, initially proposed for continuum systems, introduces a…

Strongly Correlated Electrons · Physics 2025-08-19 Zhijie Fan , Tianning Xiao , Youjin Deng