Quantum Classical Algorithm for the Study of Phase Transitions in the Hubbard Model via Dynamical Mean-Field Theory

Quantum Classical Algorithm for the Study of Phase Transitions in the Hubbard Model via Dynamical Mean-Field Theory

Modeling many-body quantum systems is widely regarded as one of the most promising applications for near-term noisy quantum computers. However, in the near term, system size limitation will remain a severe barrier for applications in materials science or strongly correlated systems. A promising aven...

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Bibliographic Details
Main Authors: Anshumitra Baul, Herbert Fotso, Hanna Terletska, Ka-Ming Tam, Juana Moreno
Format: Article
Language:English
Published: MDPI AG 2025-04-01
Series:Quantum Reports
Subjects:
metal insulator transition
Mott transition
dynamical mean field theory
quantum machine learning
quantum neural network
Hubbard model
Online Access:https://www.mdpi.com/2624-960X/7/2/18
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