During March 2026, Maya Bar-On focused on stabilizing the Traveling Salesman Problem routing within the Classiq/classiq-library repository. She addressed a degeneration bug in the TSP route derivation by implementing a defensive default value when no indices were found, ensuring that route calculations remained robust and preventing downstream errors. Working primarily in Python and leveraging her skills in algorithm design and data analysis, Maya’s fix improved the reliability of quantum-inspired routing outputs. This enhancement reduced the need for manual triage and increased customer trust in model deployments, reflecting a thoughtful approach to code quality and maintainability in quantum computing applications.