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A Quantum Kinetic Monte Carlo Method for Quantum Many-body Spin Dynamics
Abstract
We propose a general framework of quantum kinetic Monte Carlo algorithm, based on
a stochastic representation of a series expansion of the quantum evolution. Two approaches
have been developed in the context of quantum many-body spin dynamics, using different
decomposition of the Hamiltonian. The effectiveness of the methods is tested for many-body
spin systems up to 40 spins.
Type
Journal articlePermalink
https://hdl.handle.net/10161/15783Collections
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Show full item recordScholars@Duke
Jianfeng Lu
Professor of Mathematics
Jianfeng Lu is an applied mathematician interested in mathematical analysis and algorithm
development for problems from computational physics, theoretical chemistry, materials
science and other related fields.More specifically, his current research focuses include:Electronic
structure and many body problems; quantum molecular dynamics; multiscale modeling
and analysis; rare events and sampling techniques.
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