Adaptive Relational Learning on Multi-instance Quantum Data with Photonic Processors
This work introduces an adaptive relational learning framework for multi-instance quantum data that accesses pairwise and higher-order relations and opens routes to sensing and quantum-data applications where adaptive photonic QML can access relational features that are costly to recover with non-adaptive, measure-firs...