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Andrew Chi-Chih Yao identifies "AI for science" as the most critical trajectory, emphasizing that while current models are bounded by physical laws, their integration with quantum computing offers a path toward error correction and new computational frontiers. This convergence suggests that over the next decade, AI will not just accelerate but fundamentally enable breakthroughs in building scalable and reliable quantum systems.
Experts weigh in on AI

From a theoretical perspective, I would say that AI for science is the most interesting, important…
Extras afișat conform termenilor RSS ai publicației · 16 cuvinte · textul integral și figurile sunt pe site-ul publicației
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