New Theorem Demonstrates Convolutional Neural Networks Can Be Trained on Quantum Computers

RESEARCH NEWS RELEASE — 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 […]