Quantum AI represents the convergence of quantum computing and artificial intelligence, where quantum computers are utilized to accelerate AI processes and AI techniques are applied to enhance quantum hardware and algorithms. This synergy is mutualistic, with AI already playing a crucial role in calibrating quantum systems and mitigating errors, while quantum computing offers potential acceleration for specific AI bottlenecks such as optimization and sampling. Major technology companies, including Intel, are driving quantum developments, which in turn narrows the timeline for cryptographic migration, increasing the urgency for planning post-quantum cryptography. The intersection of quantum computing and AI has significant implications for cryptographic security, making it essential for practitioners to stay informed about the latest developments1. This knowledge is critical for those involved in cryptographic migration and post-quantum cryptography planning, as it directly impacts the security and integrity of their systems.