Language Models for Quantum Simulation

Roger Melko, Perimeter Institute

Title: Language Models for Quantum Simulation

Abstract: As the frontiers of artificial intelligence advance more rapidly than ever before, generative language models like GPT are already causing significant scientific, economic, and social transformation. In addition to their remarkable performance on typical language tasks - such as generating text from a prompt - language models are rapidly being adopted as powerful strategies for simulating quantum many-body systems. In this talk, I will discuss the use of language models for learning states realized in today's experimental quantum simulators by using qubit projective measurement data. By leveraging the ability of modern transformer architectures to scale, I will discuss how language models are poised to are poised to become one of the most powerful computational tools in our arsenal for the design and characterization of quantum simulators in the future.