Breakthrough Proof Clears Path for Quantum AI

Combining two of my passions, this article discusses a paper covering recent advances with using quantum computers for machine learning algorithms.

Convolutional neural networks running on quantum computers have generated significant buzz for their potential to analyze quantum data better than classical computers can. While a fundamental solvability problem known as "barren plateaus" has limited the application of these neural networks for large data sets, new research overcomes that Achilles heel with a rigorous proof that guarantees scalability.