Decay versus dephasing in Rydberg analog optimization: exchange rate, mechanism, and schedule design
Year: 2026
Type: preprint
Abstract: Code, random seeds, and stored outcome distributions accompanying the manuscript "Decay versus dephasing in Rydberg analog optimization: exchange rate, mechanism, and schedule design" by S. Kim and J. Jung. Includes the exact Lindblad and quantum-trajectory solvers, the perturbative damage-function routines, the full outcome distributions of the 20 production instances, all robustness-scan caches (system size N=6–24, geometry, collective dephasing, full-Hilbert-space audits), the schedule-optimization data, and the scripts that regenerate every figure. See README.md for a file map and reproduction instructions.
Source: arXiv (Cornell University)
Authors: Kim, Seunghyeon, Kim, Minjoo, Jung, Junwoo
Institution: Korea Advanced Institute of Science and Technology
Language: English
Subfield: Artificial Intelligence
Field: Computer Science
Domain: Physical Sciences
Open Access status: green
OpenAlex ID: W7204708362