Recent advancements in artificial intelligence (AI) suggest it may surpass quantum computing in simulating certain complex materials and chemical reactions, challenging the anticipated dominance of quantum technologies in these fields. AI models, trained on extensive datasets, are now capable of effectively and economically simulating large, weakly correlated systems, making them valuable tools in industries like drug discovery and materials science. However, ongoing developments in quantum hardware and algorithms could enable quantum computers to regain an edge, particularly for tasks requiring precise simulations of strongly correlated quantum systems.
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