1.2k citations · 4.1k across the 18 of their papers we have counts for
18 papers
Information Scrambling in Quantum Neural Networks
Huitao Shen, Pengfei Zhang, Yi-Zhuang You +1
The quantum neural network is one of the promising applications for near-term noisy intermediate-scale quantum computers. A quantum neural network distills the information from the…
Mutual Information Scaling and Expressive Power of Sequence Models
Huitao Shen
Sequence models assign probabilities to variable-length sequences such as natural language texts. The ability of sequence models to capture temporal dependence can be characterized…
Observation of the nonlinear Hall effect under time reversal symmetric conditions
Qiong Ma, Su-Yang Xu, Huitao Shen +18
The electrical Hall effect is the production of a transverse voltage under an out-of-plane magnetic field. Historically, studies of the Hall effect have led to major breakthroughs…
Electrically switchable Berry curvature dipole in the monolayer topological insulator WTe2
Su-Yang Xu, Qiong Ma, Huitao Shen +16
Recent experimental evidence for the quantum spin Hall (QSH) state in monolayer WTe has bridged two of the most active fields of condensed matter physics, 2D materials and topo…
In-Plane Ferroelectric Tunnel Junction
Huitao Shen, Junwei Liu, Kai Chang +1
The ferroelectric material is an important platform to realize non-volatile memories. So far, existing ferroelectric memory devices utilize out-of-plane polarization in ferroelectr…
Deep Learning Topological Invariants of Band Insulators
Ning Sun, Jinmin Yi, Pengfei Zhang +2
In this work we design and train deep neural networks to predict topological invariants for one-dimensional four-band insulators in AIII class whose topological invariant is the wi…
Visualizing Neural Network Developing Perturbation Theory
Yadong Wu, Pengfei Zhang, Huitao Shen +1
In this letter, motivated by the question that whether the empirical fitting of data by neural network can yield the same structure of physical laws, we apply the neural network to…
Quantum Oscillation from In-gap States and non-Hermitian Landau Level Problem
Huitao Shen, Liang Fu
Motivated by recent experiments on Kondo insulators, we theoretically study quantum oscillations from disorder-induced in-gap states in small-gap insulators. By solving a non-Hermi…
Self-learning Monte Carlo with Deep Neural Networks
Huitao Shen, Junwei Liu, Liang Fu
Self-learning Monte Carlo (SLMC) method is a general algorithm to speedup MC simulations. Its efficiency has been demonstrated in various systems by introducing an effective model…
Machine Learning Topological Invariants with Neural Networks
Pengfei Zhang, Huitao Shen, Hui Zhai
In this Letter we supervisedly train neural networks to distinguish different topological phases in the context of topological band insulators. After training with Hamiltonians of…
Topological Band Theory for Non-Hermitian Hamiltonians
Huitao Shen, Bo Zhen, Liang Fu
We develop the topological band theory for systems described by non-Hermitian Hamiltonians, whose energy spectra are generally complex. After generalizing the notion of gapped band…
Self-Learning Monte Carlo Method: Continuous-Time Algorithm
Yuki Nagai, Huitao Shen, Yang Qi +2
The recently-introduced self-learning Monte Carlo method is a general-purpose numerical method that speeds up Monte Carlo simulations by training an effective model to propose unco…
Nodal-link semimetals
Zhongbo Yan, Ren Bi, Huitao Shen +3
In topological semimetals, the valence band and conduction band meet at zero-dimensional nodal points or one-dimensional nodal rings, which are protected by band topology and symme…
Self-Learning Monte Carlo Method in Fermion Systems
Junwei Liu, Huitao Shen, Yang Qi +2
We develop the self-learning Monte Carlo (SLMC) method, a general-purpose numerical method recently introduced to simulate many-body systems, for studying interacting fermion syste…
Out-of-Time-Order Correlation at a Quantum Phase Transition
Huitao Shen, Pengfei Zhang, Ruihua Fan +1
In this paper we numerically calculate the out-of-time-order correlation functions in the one-dimensional Bose-Hubbard model. Our study is motivated by the conjecture that a system…
Out-of-Time-Order Correlation for Many-Body Localization
Ruihua Fan, Pengfei Zhang, Huitao Shen +1
In this paper we first compute the out-of-time-order correlators (OTOC) for both a phenomenological model and a random-field XXZ model in the many-body localized phase. We show tha…
Landau Damping in a Mixture of Bose and Fermi Superfluids
Huitao Shen, Wei Zheng
We study the Landau damping in Bose-Fermi superfluid mixture at finite temperature. We find that at low temperature, the Landau damping rate will be exponentially suppressed at bot…
Magnetic Order Driven Topological Transition in the Haldane-Hubbard Model
Wei Zheng, Huitao Shen, Zhong Wang +1
In this letter we study the Haldane model with on-site repulsive interactions at half-filling. We show that the mean-field Hamiltonian with magnetic order effectively modifies para…