5 papers
Transformer-based operator learning framework for self-energy in strongly correlated systems
Yuanran Zhu, Peter Rosenberg, Zhen Huang +3
We introduce -Attention, a Transformer-based operator-learning framework to address a key computational challenge in correlated materials. Our approach utilizes an Encoder-Only…
Strong-coupling expansion and two-point Padé approximation for lattice field theory
Yuanran Zhu, Efekan Kökcü, Chao Yang
Reliable approximations for correlation functions at intermediate and strong coupling remain hard to obtain for general quantum field theories. Perturbative expansions are often as…
Predicting open quantum dynamics with data-informed quantum-classical dynamics
Pinchen Xie, Ke Wang, Anupam Mitra +4
We introduce a data-informed quantum-classical dynamics (DIQCD) approach for predicting the evolution of an open quantum system. The equation of motion in DIQCD is a Lindblad equat…
A Practical Framework for Simulating Time-Resolved Spectroscopy Based on a Real-time Dyson Expansion
Cian Reeves, Michael Kurniawan, Yuanran Zhu +5
Time-resolved spectroscopy is a powerful tool for probing electron dynamics in molecules and solids, revealing transient phenomena on sub-femtosecond timescales. The interpretation…
Performance of wave function and Green's functions based methods for non equilibrium many-body dynamics
Cian C. Reeves, Gaurav Harsha, Avijit Shee +5
Theoretical descriptions of non equilibrium dynamics of quantum many-body systems essentially employ either (i) explicit treatments, relying on truncation of the expansion of the m…