3 papers
math.NA2026
Randomized Neural Networks for Integro-Differential Equations with Application to Neutron Transport
Haoning Dang, Fei Wang, Yifan Chen +3
Integro-differential equations arise in a wide range of applications, including transport, kinetic theory, radiative transfer, and multiphysics modeling, where nonlocal integral op…
quant-ph2026
Scalable Fluxonium Quantum Processors via Tunable-Coupler Architecture
Ze Zhan, Zishuo Li, Fei Wang +24
Superconducting quantum processors have largely converged on transmon-based architectures, while alternative qubit modalities with intrinsic error protection have lacked a demonstr…
cs.LG2025
DeepONet Augmented by Randomized Neural Networks for Efficient Operator Learning in PDEs
Zhaoxi Jiang, Fei Wang
Deep operator networks (DeepONets) represent a powerful class of data-driven methods for operator learning, demonstrating strong approximation capabilities for a wide range of line…