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Simulation with complex measures

Technical Report:

Abstract

The simulation of statistical and quantum systems suffers from the sign problem when the generating function measures are indefinite or are complex, such as lattice quantum chromodynamics with finite temperature and density and chiral gauge theory. A new approach is proposed which yields statistical errors smaller than the crude Monte Carlo using absolute values of the original measures. The one-dimensional complex-coupling Ising model is employed as an illustration. 2 refs., 1 tab., 1 fig.
Publication Date:
Dec 31, 1994
Product Type:
Technical Report
Report Number:
UM-P-93/108
Reference Number:
SCA: 662230; PA: AIX-26:018038; EDB-95:032291; SN: 95001330057
Resource Relation:
Other Information: PBD: [1994]
Subject:
72 PHYSICS OF ELEMENTARY PARTICLES AND FIELDS; COMPUTERIZED SIMULATION; CALCULATION METHODS; QUANTUM CHROMODYNAMICS; LATTICE FIELD THEORY; ANALYTICAL SOLUTION; ERRORS; FUNCTIONS; ISING MODEL; ONE-DIMENSIONAL CALCULATIONS; 662230
OSTI ID:
10113756
Research Organizations:
Melbourne Univ., Parkville, VIC (Australia). School of Physics
Country of Origin:
Australia
Language:
English
Other Identifying Numbers:
Other: ON: DE95616333; TRN: AU9414219018038
Availability:
OSTI; NTIS (US Sales Only); INIS
Submitting Site:
INIS
Size:
3 p.
Announcement Date:
Jun 30, 2005

Technical Report:

Citation Formats

Kieu, T D, and Griffin, C J. Simulation with complex measures. Australia: N. p., 1994. Web.
Kieu, T D, & Griffin, C J. Simulation with complex measures. Australia.
Kieu, T D, and Griffin, C J. 1994. "Simulation with complex measures." Australia.
@misc{etde_10113756,
title = {Simulation with complex measures}
author = {Kieu, T D, and Griffin, C J}
abstractNote = {The simulation of statistical and quantum systems suffers from the sign problem when the generating function measures are indefinite or are complex, such as lattice quantum chromodynamics with finite temperature and density and chiral gauge theory. A new approach is proposed which yields statistical errors smaller than the crude Monte Carlo using absolute values of the original measures. The one-dimensional complex-coupling Ising model is employed as an illustration. 2 refs., 1 tab., 1 fig.}
place = {Australia}
year = {1994}
month = {Dec}
}