Quantum machine learning nears practicality as partial error correction reduces hardware demands

https://phys.org/news/2025-12-quantum-machine-nears-partial-error.html

"quantum processors noisy needing millions qubits to fix tiny errors accumulating in hundreds of gates required for AI models... overcome: don't need to correct every gate as more than half trainable, adapting to noise during learning... correcting only non-trainable gates achieves accuracy levels comparable to full error correction... requires only few thousand qubits instead of millions... quantum-powered AI capable of training on massive datasets in seconds could be achieved in years rather than decades"