Feb. 7 at 2:13 PM
$QBTS AI will increasingly require quantum computing because future AI models demand capabilities beyond the physical constraints of binary, silicon-based computing—specifically in handling exponential complexity, massive optimization tasks, and molecular-level simulations.
While Nvidia's GPUs and Google's TPUs are currently the gold standard for AI, they are essentially 2D binary processors operating on linear algebra. They will become insufficient for the next phase of "super-intelligence" because they cannot simulate quantum phenomena, struggle with combinatorial optimization, and will eventually hit a ceiling in power and data scaling.
