Stochastic quantization with discrete fictitious time

Abstract We present a new approach to stochastic quantization à la Parisi-Wu with a discrete fictitious time. The noise average is modified by weights, which results in the equivalence in the large time limit to the correlation function of the corresponding quantum field theory without taking any continuum limit of fictitious time. We test our method in a zero-dimensional toy model both perturbatively and numerically.

Authors

Institutions

Publication Details

Journal
Progress of Theoretical and Experimental Physics
Published
2025-02-28
DOI
https://doi.org/10.1093/ptep/ptaf038
Primary Topic
Stochastic processes and financial applications
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Stochastic quantization with discrete fictitious time

Daisuke Kadoh, Hiroto So, Mitsuhiro Kato, Makoto Sakamoto
Progress of Theoretical and Experimental Physics
Stochastic processes and financial applications
article

Stochastic quantization with discrete fictitious time

Daisuke Kadoh, Hiroto So, Mitsuhiro Kato, Makoto Sakamoto
article en

Abstract

Abstract We present a new approach to stochastic quantization à la Parisi-Wu with a discrete fictitious time. The noise average is modified by weights, which results in the equivalence in the large time limit to the correlation function of the corresponding quantum field theory without taking any continuum limit of fictitious time. We test our method in a zero-dimensional toy model both perturbatively and numerically.

Progress of Theoretical and Experimental Physics
Tokyo Institute of Technology (JP), Meiji Gakuin University (JP), Ferris University (JP), Kobe University (JP), The University of Tokyo (JP)
Openalex Percentile: Top 95%
Stochastic processes and financial applications
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.