Tech companies have invested billions in quantum computing, hoping it will transform fields like finance and drug discovery, but AI is emerging as a formidable alternative.
Researchers are increasingly wondering if AI could tackle complex problems in chemistry and materials science faster than quantum computing's anticipated breakthroughs.
The rise of AI in critical scientific domains suggests that the expected advantages of quantum computing may not be as significant as once believed.
As AI applications grow, there is a reevaluation of quantum computing's potential supremacy in solving real-world challenges in physics and chemistry.
Collection
[
|
...
]