AI & Computingpreprint2026-09-01

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

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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.

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View paper (DOI)Open access versionOpenAlexarXiv (Cornell University)Published 2026-09-01

Authors: Byeongyong Park, Sanha Kang, Doyeol Ahn, Keunhong Jeong

Institutions: Sogang University, University of Seoul