Quantum computing could one day help artificial intelligence tackle more demanding calculations. Now, Google researchers have shown how AI can return the favor, using teams of agents to design quantum programs that need fewer computing resources.
In a study, Google researchers used artificial intelligence and computer-checked mathematical proofs to design quantum programs that require substantially fewer computing resources, potentially bringing demanding chemistry and fusion calculations closer to practical use.
The team, led by researchers at Google DeepMind and Google Quantum AI, reported roughly elevenfold lower resource costs for a fusion-related simulation, eightfold lower costs for a photochemistry calculation and a 2.5-fold reduction for a model relevant to drug metabolism. This doesn’t exactly make quantum computers useful but brings them a step closer to tackling scientific problems that are beyond their reach today.
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