The UK's National Metrology Institute has partnered with NVIDIA to leverage artificial intelligence in automating the characterization of quantum computing devices. By integrating NVIDIA's Ising AI models, the collaboration aims to enhance the calibration and performance monitoring of qubits, reducing the need for manual intervention. This approach supports the development of benchmarking frameworks and scalable methods for reliable quantum computing systems1. The use of AI in quantum measurement systems is expected to improve the stability and performance of quantum devices. As quantum computing advances, the need for robust and efficient characterization methods becomes increasingly important. The integration of AI in quantum computing characterization has significant implications for the development of post-quantum cryptography, making it essential for practitioners to prioritize planning and migration to quantum-resistant systems.