10 citations · 15 across the 6 of their papers we have counts for
Showing 2024Show all
2 papers · 1 filter
quant-ph2024★ 2 cited
ShadowGPT: Learning to Solve Quantum Many-Body Problems from Randomized Measurements
Jian Yao, Yi-Zhuang You
We propose ShadowGPT, a novel approach for solving quantum many-body problems by learning from randomized measurement data collected from quantum experiments. The model is a genera…
physics.comp-ph2024★ 3 cited
Active Learning for Discovering Complex Phase Diagrams with Gaussian Processes
Max Zhu, Jian Yao, Marcus Mynatt +5
We introduce a Bayesian active learning algorithm that efficiently elucidates phase diagrams. Using a novel acquisition function that assesses both the impact and likelihood of the…