Researchers have introduced a novel data structure called permeability DAG to optimize quantum programs, enabling automatic quantum function parallelization and memory management in Qrisp1. This development is crucial as it facilitates the representation of quantum programs across multiple levels of abstraction, capturing useful properties that can be leveraged for optimization. The permeability DAG allows for various possibilities in operating on quantum programs, making it a significant advancement in the field. As hardware manufacturers continue to make progress, automated optimization of quantum programs has become a key area of focus. The introduction of this data structure has the potential to significantly impact the development of quantum computing, particularly in terms of efficiency and scalability. This matters to practitioners as it raises the stakes for securing quantum computing systems, extending the implications beyond immediate targets to geopolitical levels, where state-aligned threat activity can have far-reaching consequences.