NVIDIA has introduced a family of open-source AI models, dubbed NVIDIA Ising, to tackle key challenges in quantum processor calibration and error correction. These models, named after the Ising mathematical model, are designed to enhance the reliability of qubits, paving the way for large-scale quantum-GPU supercomputers. By leveraging AI to optimize quantum processor performance, NVIDIA aims to accelerate the development of quantum computing technology. The release of these models is a strategic move to address engineering bottlenecks in quantum computing, and their open-source nature is expected to foster collaboration and innovation in the field1. The implications of this development are significant, as advancements in quantum computing threaten to render current cryptographic systems obsolete, underscoring the need for urgent planning and migration to post-quantum cryptography. So what this means for practitioners is that the timeline for cryptographic migration just got shorter, making proactive planning for quantum-resistant cryptography a pressing concern.