By using “classical shadows,” ordinary computers can beat quantum computers at the tricky task of understanding quantum behaviors. The post Machine Learning Aids Classical Modeling of Quantum Systems first appeared on Quanta Magazine
Understanding the quantum universe is not an easy thing. Intuitive notions of space and time break down in the tiny realm of subatomic physics, allowing for behavior that seems, to our macro sensibilities, downright weird. Quantum computers should allow us to harness this strangeness. Such machines could theoretically explore molecular interactions to create new drugs and materials.