332 citations · 2.8k across the 55 of their papers we have counts for
6 papers · 1 filter
Note on Green Function Formalism and Topological Invariants
Yehao Zhou, Junyu Liu
It has been discovered previously that the topological order parameter could be identified from the topological data of the Green's function, namely the (generalized) TKNN invarian…
Chaos and random matrices in supersymmetric SYK
Nicholas Hunter-Jones, Junyu Liu
We use random matrix theory to explore late-time chaos in supersymmetric quantum mechanical systems. Motivated by the recent study of supersymmetric SYK models and their random mat…
On thermalization in the SYK and supersymmetric SYK models
Nicholas Hunter-Jones, Junyu Liu, Yehao Zhou
The eigenstate thermalization hypothesis is a compelling conjecture which strives to explain the apparent thermal behavior of generic observables in closed quantum systems. Althoug…
Artificial Neural Network in Cosmic Landscape
Junyu Liu
In this paper we propose that artificial neural network, the basis of machine learning, is useful to generate the inflationary landscape from a cosmological point of view. Traditio…
Chaos, Complexity, and Random Matrices
Jordan Cotler, Nicholas Hunter-Jones, Junyu Liu +1
Chaos and complexity entail an entropic and computational obstruction to describing a system, and thus are intrinsically difficult to characterize. In this paper, we consider time…
Supersymmetric SYK model and random matrix theory
Tianlin Li, Junyu Liu, Yuan Xin +1
In this paper, we investigate the effect of supersymmetry on the symmetry classification of random matrix theory ensembles. We mainly consider the random matrix behaviors in the $\…