Quantum Mechanics Simulated as Branching Process

dc.creatorFricke, Thomas
dc.date1995-07-28
dc.date1995-07-31
dc.date.accessioned2026-07-07T08:58:56Z
dc.date.available2026-07-07T08:58:56Z
dc.descriptionDiffusion processes with branching play an important role in statistical dynamics. They are a common approach to the computing of quantum mechanical groundstates, and serve as models for population dynamics and as physical pictures for biological evolution. On a computer the efficiency of this simulation method is limited by the approach to the infinitesimal time step, which is necessary to perform alternating diffusion and branching steps. In this paper, a method is described, which eliminates the infinitesimal time step for a certain class of branching processes, if the process of interest can be ``embedded'' into another process, which is solvable by other analytic and/or numerical methods. The simplest choice for the embbeding process is given by a process with a constant branching rate, which dominates the rate of the embedded process.
dc.description4 pages, RevTex, epsf, 3 pictures, submitted to Phys. Rev. Let., revision of minor Latex bug fixes
dc.identifierhttps://arxiv.org/abs/cond-mat/9507128
dc.identifierhttp://arxiv.org/abs/cond-mat/9507128
dc.identifier.urihttp://salesiana.dossiersoluciones.com/handle/123456789/147525
dc.subjectCondensed Matter
dc.titleQuantum Mechanics Simulated as Branching Process
dc.typetext

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