Language Models for Quantum Computers
Roger G. Melko
 (University of Waterloo and Perimeter Institute for Theoretical Physics, Waterloo, ON, Canada)
As the frontiers of artificial intelligence advance more rapidly than ever before, generative language models like GPT are already causing significant economic and social transformation. In addition to their remarkable performance on typical language tasks - such as generating text from a prompt - language models are being rapidly adopted as powerful predictive tools for studying quantum computers. In this talk, I will discuss the use of such models for learning states realized in existing experimental quantum simulators. I will show how language models are poised to become one of the most powerful computational tools in our arsenal for the design and characterization of today's quantum simulators and tomorrow's fault-tolerant computers.