Norma, a quantum computing company, has demonstrated that its quantum AI algorithms can perform up to 73 times faster on NVIDIA's CUDA-Q platform, especially in drug development applications.

Testing revealed that NVIDIA's GH200 GPU provides an additional 22% to 24% performance boost over the H200 in forward and backward propagation processes.

Quantum AI algorithms like QLSTM, QGAN, and QCBM were tested on NVIDIA's hybrid systems, utilizing H200 GPUs and GH200 Superchips, showcasing significant performance improvements.

This validation was part of a joint research effort with Kyung Hee University Hospital at Gangdong, aimed at discovering new drug candidates amid the complex chemical search space.

The results highlight the practical potential of quantum AI to accelerate drug discovery, reduce development costs, and support the broader adoption of quantum hardware across sectors such as biotechnology, defense, and finance.

By enabling faster and more realistic testing of quantum algorithms, these advancements can significantly cut down on development time and costs, fostering practical applications in various fields.

This performance boost not only accelerates validation processes but also paves the way for quantum AI to revolutionize drug discovery and other industries.