Machine learning for quantum matter
Quantum matter, the research field studying phases of matter whose properties are intrinsically quantum mechanical, draws from areas as diverse as hard condensed matter physics, materials science, statistical mechanics, quantum information, quantum gravity, and large-scale numerical simulations. Rec...
Main Author: | Juan Carrasquilla |
---|---|
Format: | Article |
Language: | English |
Published: |
Taylor & Francis Group
2020-01-01
|
Series: | Advances in Physics: X |
Subjects: | |
Online Access: | http://dx.doi.org/10.1080/23746149.2020.1797528 |
Similar Items
-
Quantum model learning agent: Characterisation of quantum systems through machine learning
by: Flynn, B., et al.
Published: (2022) -
From Real Materials to Model Hamiltonians With Density Matrix Downfolding
by: Huihuo Zheng, et al.
Published: (2018-05-01) -
Theoretical Study of Spin-wave Effects in Quantum Ferromagnets
by: Bharadwaj, Sripoorna Paniyadi Krishna
Published: (2017) -
Machine Learning: Quantum vs Classical
by: Tariq M. Khan, et al.
Published: (2020-01-01) -
Intrinsic Bulk Quantum Oscillations in a Bulk Unconventional Insulator SmB6
by: Máté Hartstein, et al.
Published: (2020-11-01)