Quantum machine learning unlocks new efficient chip design pipeline — encoding data in quantum states then analyzing it with machine learning up to 20% more effective than traditional models

Researchers have discovered a new method of designing semi-conductors by modeling the electrical resistance inside a chip using quantum computing pattern recognition, and then machine learning to analyze the output data.