Can AI Learn the Best Way to Use a Noisy Quantum Computer?

Explore how artificial intelligence can optimize the performance of noisy quantum computers in this 51-minute conference talk from the Galileo Galilei Institute. Delve into the intersection of machine learning and quantum computing as the speaker examines whether AI algorithms can discover optimal strategies for working with quantum systems that are inherently affected by noise and decoherence. Learn about the challenges posed by quantum noise, the potential for AI-driven solutions to mitigate these issues, and the implications for advancing practical quantum computing applications. Gain insights into cutting-edge research that combines two of the most promising technological frontiers to address fundamental limitations in current quantum hardware.