Extending Machine Learning to Fermion–Boson Coupled Systems and Excited-State Calculations


2021-3-15

JPS Hot Topics 1, 011

https://doi.org/10.7566/JPSHT.1.011

© The Physical Society of Japan

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Machine Learning Quantum States — Extensions to Fermion–Boson Coupled Systems and Excited-State Calculations
(JPSJ Editors' Choice)

Yusuke Nomura
J. Phys. Soc. Jpn. 89, 054706 (2020) .

We have demonstrated the power of machine learning in representing quantum many-body states accurately. We have extended the applicability of neural-network wave functions and shown their usefulness in fermion-boson-coupled systems and excited-state calculations.


JPSHT-1-011.jpg_1200.jpg

Machine Learning Quantum States — Extensions to Fermion–Boson Coupled Systems and Excited-State Calculations
(JPSJ Editors' Choice)

Yusuke Nomura
J. Phys. Soc. Jpn. 89, 054706 (2020) .

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