4 citations · 6 across the 11 of their papers we have counts for
7 papers · 1 filter
Gradient-estimator design overcomes trainability barriers in neural-network-based variational optimization
Yi-Ran Xue, Rui Wang, Baigeng Wang +1
Neural networks provide expressive representations for scientific computing. However, even sufficiently expressive networks can suffer training failure in weak-gradient regimes, li…
Low-variance estimators overcome the phase-gradient bottleneck in complex-valued neural quantum states
Yi-Ran Xue, Rui Wang, Baigeng Wang +1
Complex neural quantum states are difficult to optimize when their wavefunction phase carries gauge, chiral, fermionic, or topological structure. We show that the major failure mod…
Spontaneously formed excitonic density wave with vortex-antivortex lattice in twisted semiconductor bilayers
Deguang Wu, Yiran Xue, Baigeng Wang +2
Exciton condensation, characterized by uniform phase coherence across macroscopic length scales, has enabled the discovery of a variety of excitonic states, greatly enriching our u…
Interplay between non-Fermi liquid and non-Hermiticity: A multi-method study of non-Hermitian multichannel Kondo model
Wei-Zhu Yi, Yun Chen, Jun-Jun Pang +3
Non-Hermitian multichannel Kondo problems host both non-Fermi liquid and non-Hermitian physics, which provide a prototypical model to explore exotic collective quantum phenomena dr…
Non-Hermiticity Induced Universal Anomalies in Kondo Conductance
Wei-Zhu Yi, Yun Chen, Jun-Jun Pang +3
Strong correlation, when combined with dissipation in open systems, can lead to a variety of exotic quantum phenomena. Here, we study nontrivial interplays between non-Fermi liquid…
Probing quantum critical crossover via impurity renormalization group
Tao Yang, Z. Y. Xie, Rui Wang +1
Quantum impurities can host exotic many-body states that serve as sensitive probes of bath correlations. However, quantitative and non-perturbative methods for determining impurity…