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Dr. Melko's research interests involve strongly-correlated many-body systems, with a focus on emergent phenomena, ground state phases, phase transitions, quantum criticality, and entanglement. He emphasizes computational methods as a theoretical technique, in particular the development of state-of-the-art algorithms for the study of strongly-interacting systems. Dr. Melko's work has employed Monte Carlo simulations and Density Matrix Renormalization Group methods to explore the low-temperature physics of classical and quantum magnetic materials, cold atoms in optical lattices, bosonic fluids and low-dimensional systems. He is particularly involved in studying microscopic models that display interesting quantum behavior in the bulk, such as superconducting, spin liquid, topological, superfluid or supersolid phases. He is also interested in broader ideas in computational physics, the development of efficient algorithms for simulating quantum mechanical systems on classical computers, and the relationship of these methods to the field of quantum information science.
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论文共 202 篇作者统计合作学者相似作者
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David Fitzek,Yi Hong Teoh, Hin Pok Fung, Gebremedhin A. Dagnew,Ejaaz Merali, M. Schuyler Moss,Benjamin MacLellan,Roger G. Melko
arxiv(2024)
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SCIPOST PHYSICS COREno. 2 (2024): 016
M. Schuyler Moss,Sepehr Ebadi,Tout T. Wang,Giulia Semeghini,Annabelle Bohrdt,Mikhail D. Lukin,Roger G. Melko
PHYSICAL REVIEW Ano. 3 (2024)
Jie Lin,Benjamin MacLellan, Sobhan Ghanbari, Julie Belleville, Khuong Tran, Luc Robichaud,Roger G. Melko,Hoi-Kwong Lo,Piotr Roztocki
arxiv(2024)
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Nature Computational Scienceno. 1 (2024): 11-18
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