16 citations · 64 across the 7 of their papers we have counts for
7 papers
Generalized Spectral Decomposition for Quantum Impurity Problems
Jun-Bin Wang, Dongchen Huang, Yi-feng Yang
Solving quantum impurity problems may advance our understanding of strongly correlated electron physics, but its development in multi-impurity systems has been greatly hindered due…
Superconducting fluctuations and charge-4 plaquette state at strong coupling
Qiong Qin, Jian-Jun Dong, Yutao Sheng +2
We apply the static auxiliary field Monte Carlo approach to study phase correlations of the pairing fields in a microscopic model with spin-singlet pairing interaction. We find tha…
Removing grid structure in angle-resolved photoemission spectra via deep learning method
Junde Liu, Dongchen Huang, Yi-feng Yang +1
Spectroscopic data may often contain unwanted extrinsic signals. For example, in ARPES experiment, a wire mesh is typically placed in front of the CCD to block stray photo-electron…
Spectroscopic data de-noising via training-set-free deep learning method
Dongchen Huang, Junde Liu, Tian Qian +1
De-noising plays a crucial role in the post-processing of spectra. Machine learning-based methods show good performance in extracting intrinsic information from noisy data, but oft…
Learning disentangled representation for classical models
Dongchen Huang, Danqing Hu, Yi-feng Yang
Finding disentangled representation plays a predominant role in the success of modern deep learning applications, but the results lack a straightforward explanation. Here we apply…
Mutual information, quantum phase transition, and phase coherence in Kondo systems
Jian-Jun Dong, Dongchen Huang, Yi-feng Yang
We propose a static auxiliary field approximation to study the hybridization physics of Kondo systems without the sign problem and use the mutual information to measure the intersi…
Learned Optimizers for Analytic Continuation
Dongchen Huang, Yi-feng Yang
Traditional maximum entropy and sparsity-based algorithms for analytic continuation often suffer from the ill-posed kernel matrix or demand tremendous computation time for paramete…