1 citations · 1 across the 3 of their papers we have counts for
20 papers
Entangling power of neural networks
Taige Wang, Nisarga Paul, Liang Fu
Characterizing the complexity of correlations between subsystems is a fundamental task across information theory, machine learning, and science. In quantum physics, neural networks…
Quantum Mott semimetal in a one-dimensional Hubbard model
Boran Zhou, Taige Wang, Ya-Hui Zhang
Mott physics in topological bands has recently attracted considerable attention, particularly in the context of twisted bilayer graphene (TBG). However, the essential ingredients f…
Propagating Collective Spin-valley Modes in Twisted WSe2
Richen Xiong, Yi Guo, Chenxin Qin +15
The emergence of neutral collective modes is a hallmark of correlated quantum phases but is often challenging to probe experimentally. In two-dimensional flatband systems, charge r…
Simulating quantum circuits with a neural statebank
Taige Wang, Liang Fu
Predicting the output of quantum circuits is a central bottleneck for verifying quantum processors because a generic wavefunction grows exponentially with system size. We introduce…
Topological superconductivity from Abelian fractional Chern insulators
Taige Wang
Can a Laughlin anyon fluid become a topological superconductor? We answer this question for a fractional Chern insulator (FCI) using a infrared parton theory. Three…
Measuring anyon dispersion with tunneling probes
Taige Wang, T. Senthil
Anyons are usually characterized by their topological data and their fractional quantum numbers under global symmetries. In lattice systems such as fractional Chern insulators (FCI…