A lately launched joint analysis paper by NVIDIA, Moderna and Yale evaluations how strategies from quantum machine studying (QML) might improve drug discovery strategies by higher predicting molecular properties.
In the end, this might result in the extra environment friendly era of recent pharmaceutical therapies.
The evaluation additionally emphasizes that the important thing device for exploring these strategies is GPU-accelerated simulation of quantum algorithms.
The examine focuses on how future quantum neural networks can use quantum computing to reinforce present AI strategies.
Utilized to the pharmaceutical business, these advances supply researchers the flexibility to streamline complicated duties in drug discovery.
Researching how such quantum neural networks influence real-world use circumstances like drug discovery requires intensive, large-scale simulations of future noiseless quantum processing models (QPUs).
This is only one instance of how, as quantum computing scales up, an rising variety of challenges are solely approachable with GPU-accelerated supercomputing.
The evaluation article explores how NVIDIA’s CUDA-Q quantum improvement platform gives a singular device for operating such multi-GPU accelerated simulations of QML workloads.
The examine additionally highlights CUDA-Q’s means to simulate a number of QPUs in parallel. It is a key means for finding out real looking large-scale gadgets, which, on this explicit examine, additionally allowed for the exploration of quantum machine studying duties that batch coaching knowledge.
Most of the QML strategies lined by the evaluation — resembling hybrid quantum convolution neural networks — additionally require CUDA-Q’s means to write down applications interweaving classical and quantum assets.
The elevated reliance on GPU supercomputing demonstrated on this work is the newest instance of NVIDIA’s rising involvement in growing helpful quantum computer systems.
NVIDIA plans to additional spotlight its position in the way forward for quantum computing on the SC24 convention, Nov. 17-22 in Atlanta.
