11 citations · 21 across the 11 of their papers we have counts for
4 papers · 1 filter
Beyond Variational Bias: Resolving Intertwined Orders in the Hubbard Model
Luciano Loris Viteritti, Riccardo Rende, Christopher Roth +3
The two-dimensional Hubbard model at finite doping hosts competing or intertwined orders, resulting in conflicting conclusions from different computational approaches regarding its…
Fast Scrambling at the Boundary
Ancel Larzul, Anirvan M. Sengupta, Antoine Georges +1
Many-body systems which saturate the quantum bound on chaos are attracting interest across a wide range of fields. Notable examples include the Sachdev-Ye-Kitaev model and its vari…
Machine learning-based compression of quantum many body physics: PCA and autoencoder representation of the vertex function
Jiawei Zang, Matija Medvidović, Dominik Kiese +3
Characterizing complex many-body phases of matter has been a central question in quantum physics for decades. Numerical methods built around approximations of the renormalization g…
Compressing the two-particle Green's function using wavelets: Theory and application to the Hubbard atom
Emin Moghadas, Nikolaus Dräger, Alessandro Toschi +7
Precise algorithms capable of providing controlled solutions in the presence of strong interactions are transforming the landscape of quantum many-body physics. Particularly exciti…