Correlator Convolutional Neural Networks: An Interpretable Architecture
for Image-like Quantum Matter Data

Correlator Convolutional Neural Networks: An Interpretable Architecture for Image-like Quantum Matter Data

6 November 2020

Ruihan Wu

Kilian Q. Weinberger

Papers citing "Correlator Convolutional Neural Networks: An Interpretable Architecture for Image-like Quantum Matter Data"

4 / 4 papers shown

Title
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 24 4 0 12 Apr 2023
Machine learning discovery of new phases in programmable quantum simulator snapshots Cole Miles R. Samajdar S. Ebadi Tout T. Wang H. Pichler S. Sachdev M. Lukin M. Greiner Kilian Q. Weinberger Eun-Ah Kim 12 33 0 20 Dec 2021