Dan-Huai Zhao

ϵ-DQML: A Framework for Distributed Quantum Machine Learning over Noises and Link Failures

π-DQML is presented, a simulation-based framework for studying distributed QML under QGT-induced noise and failures, which models the state-of-the-art QGT protocol and its induced noise/failure, and supports efficient noise/failure-aware distributed QML training through a hybrid differentiation method.