Privacy-Preserving Quantum Federated Neural Operator for Distributed Multiphysics Modeling under Heterogeneous Engineering Data

Distributed engineering organizations increasingly need surrogate models for coupled partial differential equations while being unable to pool proprietary or sensitive simulation and sensing records. This work proposes a priv... | Find, read and cite all the research you need on Tech Science Press