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
- Byeongyong Park
- Keunhong Jeong
- Doyeol Ahn
- Sanha Kang
Institutions
- University of Seoul (KR)
- Sogang University (KR)
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
- 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