Quantum computing company Norma has achieved over 73× faster performance in drug development by running its quantum AI algorithm on NVIDIA GH200 Grace Hopper Superchips. Norma recently tested and validated the performance of its self-developed quantum AI algorithms on the NVIDIA CUDA-Q platform. CUDA-Q simplifies the integration of GPUs and QPUs and supports quantum-classical hybrid operations, serving as a core technology to accelerate the development and execution of quantum algorithms. Norma is independently developing quantum AI algorithms applicable across sectors such as biotechnology, defense, and finance. The company is currently running projects to execute these algorithms in the CUDA-Q environment and validate their performance. The project was launched as part of a joint research effort with Kyung Hee University Hospital at Gangdong, aimed at discovering novel drug candidates. Due to the vastness of the chemical search space, traditional AI approaches encounter computational limitations in drug discovery.

Full report : Norma, a quantum computing company, has validated the performance of quantum AI algorithms using NVIDIA CUDA-Q.