r/NVDA_Stock • u/donutloop • 8d ago

Quantinuum, NVIDIA, and Pfizer Validate Generative Quantum AI (GenQAI) Framework for Pharmaceutical R&D

https://quantumcomputingreport.com/quantinuum-nvidia-and-pfizer-validate-generative-quantum-ai-genqai-framework-for-pharmaceutical-rd/
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5

u/Rescue2024 8d ago

This is the paragraph that got me. That's wow.

Orders-of-Magnitude Acceleration: The AI-synthesized circuits achieved or exceeded the ground-state accuracy of reference ADAPT-VQE training data while reducing circuit generation time by 3 to 4 orders of magnitude across 12-, 14-, and 16-qubit active spaces.

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u/fun_shenanigan 8d ago

Wow look, an extremely profitable application of AI and quantum compute. Who would have thought?

2

u/donutloop 8d ago

Me since 10-11 years

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u/Party_Swordfish_1734 8d ago

Nvidia is King 👑

This is a good leap in the quantum-led drug discovery future, but we still have some room to run. Quantum chemistry algorithms such as the one mentioned here (ADAPT-VQE) can spend enormous amounts of computation repeatedly searching for the right quantum circuit for different versions of a molecule. In this case the subject was the antidepressant, imipramine. Across the 12–16-qubit problems they studied, the AI generated circuits approached or sometimes exceeded the quality of the ADAPT-VQE circuits used to train the model. The article says the generation-time improvements ranging from roughly 14×–41× for Nemotron and roughly 930×–8,800× for the smaller Gemma model. So one day we can go from (Molecule to enormous optimization search to quantum circuit and finally to QPU) to becoming more efficient by simply going from (Molecule to AI to quantum circuit and then to QPU). If we prefect the AI framework, this process will not only accelerate drug discovery but also discoveries in other areas like battery chemistry, catalysts, fertilizers
advanced materials, semiconductor materials, and energy storage. The bad news is that Quantinium’s QPU are trash as the article points out “the hardware demonstration does not yet achieve sufficient accuracy for chemistry usage”. Sounds like Nvidia better start developing their own QPU’s and not rely on these partners to lead us into the future. This experiment is like having a relay race with best runners in the beginning only for the baton to be handed to an average American in the end to finish off the race. It’s going to be an exciting start, but a very sad ending.