Suzuki-Trotter Decomposition.pdf

Exponentiating sums of non-commuting operators is a central yet computationally demanding task in physics and mathematics, particularly in quantum mechanics where Hamiltonians typically consist of multiple, non-commuting terms. To address this challenge, our study systematically presents and analyzes the Suzuki–Trotter decomposition—a powerful method for approximating exponentials of such sums by products of simpler exponentials. <br>We derive and prove both the first-order decomposition and its second-order (Strang) refinement, demonstrating step-by-step how symmetrically arranged exponentials can cancel lower-order commutator errors. Our findings reveal that while the first-order scheme provides a foundational approximation, the second-order splitting offers a higher level of accuracy, scaling as \(\mathcal{O}(1/n^2)\). This improved precision is especially valuable in large-scale numerical simulations of quantum systems, molecular dynamics, and other fields requiring efficient operator exponentiation. <br>By clarifying the theoretical basis and practical advantages of the Suzuki–Trotter approach, we illustrate its critical role in advancing computational physics and related disciplines.

Publication Details

Journal
Figshare
Published
2025-01-01
DOI
https://doi.org/10.6084/m9.figshare.28397987.v1
Primary Topic
Prenatal Screening and Diagnostics
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Suzuki-Trotter Decomposition.pdf

Figshare
Prenatal Screening and Diagnostics
article

Suzuki-Trotter Decomposition.pdf

article en

Abstract

Exponentiating sums of non-commuting operators is a central yet computationally demanding task in physics and mathematics, particularly in quantum mechanics where Hamiltonians typically consist of multiple, non-commuting terms. To address this challenge, our study systematically presents and analyzes the Suzuki–Trotter decomposition—a powerful method for approximating exponentials of such sums by products of simpler exponentials. <br>We derive and prove both the first-order decomposition and its second-order (Strang) refinement, demonstrating step-by-step how symmetrically arranged exponentials can cancel lower-order commutator errors. Our findings reveal that while the first-order scheme provides a foundational approximation, the second-order splitting offers a higher level of accuracy, scaling as \(\mathcal{O}(1/n^2)\). This improved precision is especially valuable in large-scale numerical simulations of quantum systems, molecular dynamics, and other fields requiring efficient operator exponentiation. <br>By clarifying the theoretical basis and practical advantages of the Suzuki–Trotter approach, we illustrate its critical role in advancing computational physics and related disciplines.

Figshare
Openalex Percentile: Top 41%
Prenatal Screening and Diagnostics
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.

Suzuki-Trotter Decomposition.pdf · Figshare (2025) | TGRS Research Map | TGRS