A quantum simulator release improves modeling for targeted optimization and materials workflows. The focus is on reproducibility, parameter transparency, and clear comparisons with classical baselines so users can judge when simulation is informative. The team provides notebooks and test cases that illustrate strengths and limitations, rather than promising blanket advantages. The roadmap includes better integration with hybrid orchestrators and additional metrics so results are easier to interpret across problem families.