IBM researchers have developed OpenEvolve, an artificial intelligence framework that utilizes large language models to identify new quantum error correction codes, a crucial step in advancing quantum computing. This framework aims to overcome the significant computational challenges associated with searching for optimal codes, which currently hinder the development of reliable quantum systems. By leveraging AI, IBM seeks to explore the vast space of potential algebraic formulations more efficiently, thereby accelerating the discovery of effective quantum error correction codes. The use of OpenEvolve has the potential to significantly reduce the time and computational resources required to identify suitable codes, such as those with improved logical error rate performance for given physical error rates1. As a result, this development narrows the timeline for migrating to post-quantum cryptography, increasing the urgency for practitioners to plan and implement quantum-resistant cryptographic solutions.