Machine learning discovery of new phases in programmable quantum simulator snapshots

20 December 2021

Papers citing "Machine learning discovery of new phases in programmable quantum simulator snapshots"

7 / 7 papers shown

Title
Interpretable Machine Learning in Physics: A Review Sebastian Johann Wetzel Seungwoong Ha Raban Iten Miriam Klopotek Ziming Liu AI4CE 80 0 0 30 Mar 2025
Machine learning phase transitions: Connections to the Fisher information Julian Arnold Niels Lörch Flemming Holtorf Frank Schafer 23 6 0 17 Nov 2023
Machine learning reveals features of spinon Fermi surface Kevin Zhang Shih-Wen Feng Y. Lensky N. Trivedi Eun-Ah Kim 18 6 0 05 Jun 2023
Fluctuation based interpretable analysis scheme for quantum many-body snapshots Henning Schlomer A. Bohrdt 26 4 0 12 Apr 2023
Investigating Topological Order using Recurrent Neural Networks Mohamed Hibat-Allah R. Melko Juan Carrasquilla 16 11 0 20 Mar 2023
Predicting Properties of Quantum Systems with Conditional Generative Models Haoxiang Wang Maurice Weber J. Izaac Cedric Yen-Yu Lin AI4CE 31 9 0 30 Nov 2022
Scalable approach to many-body localization via quantum data Alexander Gresch Lennart Bittel M. Kliesch 17 2 0 17 Feb 2022