Results 41 to 50 of about 189,782 (285)
Benchmarking quantum annealing dynamics: The spin-vector Langevin model
Physical Review Research, 2022 The classical spin-vector Monte Carlo (SVMC) model is a reference benchmark for the performance of a quantum annealer. Yet, as a Monte Carlo method, SVMC is unsuited for an accurate description of the annealing dynamics in real-time.
David Subires +4 more
doaj +1 more source
A Quantum Monte Carlo Method at Fixed Energy
, 2009 In this paper we explore new ways to study the zero temperature limit of quantum statistical mechanics using Quantum Monte Carlo simulations. We develop a Quantum Monte Carlo method in which one fixes the ground state energy as a parameter.
Beard +15 more
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Permutation matrix representation quantum Monte Carlo [PDF]
Journal of Statistical Mechanics: Theory and Experiment, 2020 We present a quantum Monte Carlo algorithm for the simulation of general quantum and classical many-body models within a single unifying framework. The algorithm builds on a power series expansion of the quantum partition function in its off-diagonal terms and is both parameter-free and Trotter error-free.
Gupta, Lalit, Albash, Tameem, Hen, Itay
openaire +2 more sources
Advanced Functional Materials, EarlyView.In this study, the interplay of dipolar dynamics and ionic charge transport in MOF compounds is investigated. Synthesizing the novel structure CFA‐25 with integrated freely rotating dipolar groups, local and macroscopic effects, including interactions with Cs cations are explored.
Ralph Freund +6 more
wiley +1 more source
Accelerating equilibrium spin-glass simulations using quantum annealers via generative deep learning
SciPost Physics, 2023 Adiabatic quantum computers, such as the quantum annealers commercialized by D-Wave Systems Inc., are routinely used to tackle combinatorial optimization problems.
Giuseppe Scriva, Emanuele Costa, Benjamin McNaughton, Sebastiano Pilati
doaj +1 more source
Advanced Functional Materials, EarlyView.From a database of 170 pentagonal 2D materials, 4 candidates exhibiting altermagnetic ordering are screened. Furthermore, the spin‐splitting and unconventional boundary states in the pentagonal 2D altermagnetic monolayer MnS2 are investigated. A MnS2‐based altermagnetic tunneling junction is designed and, through ab initio quantum transport simulations,
Jianhua Wang +8 more
wiley +1 more source
Monte Carlo Hamiltonian - From Statistical Physics to Quantum Theory
, 1999 Monte Carlo techniques have been widely employed in statistical physics as well as in quantum theory in the Lagrangian formulation. However, in some areas of application to quantum theories computational progress has been slow. Here we present a recently
Barnes +15 more
core +2 more sources
Advanced Functional Materials, EarlyView.This review systematically highlights the latest achievements in mixed‐valence states relevant to hydrogen and oxygen evolution reactions, providing essential insights into future directions and methods for large‐scale practical implementation. This critical review is expected to provide an overview of recent advancements in diverse valence‐state metal
Jitendra N. Tiwari +4 more
wiley +1 more source
Quantum computing for data-centric engineering and science
Data-Centric Engineering, 2022 In this perspective, I give my answer to the question of how quantum computing will impact on data-intensive applications in engineering and science.
Steven Herbert
doaj +1 more source
Unifying static and dynamic properties in 3D quantum antiferromagnets
, 2017 Quantum Monte Carlo simulations offer an unbiased means to study the static and dynamic properties of quantum critical systems, while quantum field theory provides direct analytical results.
Kharkov, Y. +5 more
core +1 more source