South Korea-based quantum computing company Norma announced on Monday that it has achieved over 73× faster performance in drug development by running its quantum AI algorithm on NVIDIA GH200 Grace Hopper Superchips.

Norma says that it 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, including 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, defence, 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. To overcome this, Norma's Quantum AI team has been developing algorithms such as QLSTM, QGAN, and QCBM. These algorithms are typically trained and evaluated using various quantum simulators. In this latest test, NVIDIA CUDA-Q demonstrated significantly superior computational performance compared to other simulators.