Colloquium: Professor Roger Melko, Department of Physics and Astronomy, University of Waterloo
Language Models for Quantum Simulation
In the last few years, generative machine learning models have demonstrated a striking ability to scale, driving the rapid rise of GPT-like large language models. Over the same period, experimental quantum devices have advanced rapidly, with the simulation of quantum phases and phase transitions emerging as a key application of today's quantum hardware. The growing availability of projective measurements from quantum simulators opens the exciting possibility of training custom generative models directly on quantum data....