A recent demonstration by QC Ware showcased the potential of a hybrid quantum-classical approach to computational chemistry, leveraging the company's Promethium platform in conjunction with IBM Quantum's 156-qubit Heron processor. This workflow enabled the calculation of electrostatic interaction energy for a complex enzyme system, specifically nitric oxide reductase, by combining GPU-accelerated molecular modeling with quantum measurements. The integration of classical and quantum computing methods holds significant promise for chemistry applications, although the demonstrated workflow is not yet a fully integrated component of the Promethium platform1. The success of this hybrid approach underscores the growing importance of quantum computing in advancing scientific research and simulations. As quantum capabilities continue to expand, the need for practitioners to reassess their cryptographic strategies and migrate to post-quantum cryptography becomes increasingly urgent, making advancements like this particularly relevant to those tasked with securing sensitive data.