Data and source code for "Code-space recovery for sample-based quantum diagonalization beyond native symmetry constraints"

This record contains the data and source code accompanying the paper “Code-space recovery for sample-based quantum diagonalization beyond native symmetry constraints.” The archive includes encoded and unencoded weighted sample distributions, disjoint-half sample pools used in the robustness analysis, Python source code, cleaned snapshots of the production experiment notebooks, and CSV result tables supporting the analyses reported in the main text and Supplementary Information. The experiment notebooks preserve the production analysis code and may require path adaptation, a compatible software environment, and sufficient computational resources for re-execution.

Authors

Institutions

Publication Details

Journal
arXiv (Cornell University)
Published
2026-09-01
DOI
https://doi.org/10.5281/zenodo.22015274
Primary Topic
Quantum Computing Algorithms and Architecture
Type
preprint

Funders

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preprint

Data and source code for "Code-space recovery for sample-based quantum diagonalization beyond native symmetry constraints"

Byeongyong Park, Keunhong Jeong, Doyeol Ahn, Sanha Kang
arXiv (Cornell University)
Quantum Computing Algorithms and Architecture
preprint

Data and source code for "Code-space recovery for sample-based quantum diagonalization beyond native symmetry constraints"

Byeongyong Park, Keunhong Jeong, Doyeol Ahn, Sanha Kang
preprint en

Abstract

This record contains the data and source code accompanying the paper “Code-space recovery for sample-based quantum diagonalization beyond native symmetry constraints.” The archive includes encoded and unencoded weighted sample distributions, disjoint-half sample pools used in the robustness analysis, Python source code, cleaned snapshots of the production experiment notebooks, and CSV result tables supporting the analyses reported in the main text and Supplementary Information. The experiment notebooks preserve the production analysis code and may require path adaptation, a compatible software environment, and sufficient computational resources for re-execution.

arXiv (Cornell University)
University of Seoul (KR), Sogang University (KR)
National Research Foundation, University of Seoul, National Research Foundation of Korea, Ministry of Science and ICT, South Korea, Institute for Information and Communications Technology Promotion
Peace, Justice and strong institutions
Quantum Computing Algorithms and Architecture
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