PreprintCC BYChemRxiv
An Algorithm for computing Three- and Four-Body Density Matrices from CASCI Wavefunction and AI-Assisted Code Optimization
6 affiliations
- 1Hokkaido University, 5 Nishi - 8 Kita, Kita-ku, Sapporo-shi, Hokkaido, Japan, 060-0808
- 2Information Technology Center
- 3Nagoya University
- 4Advanced HPC Promotion and Support Center, Research Organization for Information Science and Technology, 1-5-2 Minatojima-Minamicho, Chuo-ku, Kobe, Japan, 650-0047
- 5Department of Chemistry and Research Center for Smart Molecules, Rikkyo University, 3-34-1 Nishi-ikebukuro, Toshima-ku, Tokyo, 171-8501
- 6Institute of Industrial Science, University of Tokyo, 4-6-1 Komaba, Meguro-ku, Tokyo
Abstract
Three- and four-body reduced density matrices in the active space are required for second-order n-electron valence perturbation theory (NEVPT2) following complete active-space configuration interaction (CASCI) calculations. We developed an algorithm to generate these computationally demanding quantities by extending the pi-CASCI program, which is based on the graphical symmetric group approach (GSGA). A manually written prototype was subsequently optimized through AI-assisted code optimization, resulting in substantially improved performance.
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BibTeX
@misc{tanaka2026algorithm,
title = {{An Algorithm for computing Three- and Four-Body Density Matrices from CASCI Wavefunction and AI-Assisted Code Optimization}},
author = {Kiyoshi Tanaka and Takahiro Katagiri and Tatsuya Nakano and Yuji Mochizuki},
howpublished = {ChemRxiv},
year = {2026},
month = oct,
doi = {10.26434/chemrxiv.15009760/v1},
url = {https://chemrxiv.org/doi/full/10.26434/chemrxiv.15009760/v1},
note = {CC BY},
}
RIS
TY - UNPB
TI - An Algorithm for computing Three- and Four-Body Density Matrices from CASCI Wavefunction and AI-Assisted Code Optimization
AU - Kiyoshi Tanaka
AU - Takahiro Katagiri
AU - Tatsuya Nakano
AU - Yuji Mochizuki
PY - 2026
DA - 2026/10/01
PB - ChemRxiv
DO - 10.26434/chemrxiv.15009760/v1
UR - https://chemrxiv.org/doi/full/10.26434/chemrxiv.15009760/v1
AB - Three- and four-body reduced density matrices in the active space are required for second-order n-electron valence perturbation theory (NEVPT2) following complete active-space configuration interaction (CASCI) calculations. We developed an algorithm to generate these computationally demanding quantities by extending the pi-CASCI program, which is based on the graphical symmetric group approach (GSGA). A manually written prototype was subsequently optimized through AI-assisted code optimization, resulting in substantially improved performance.
ER -