Quantum Intelligence Networks: Integrating Communications Into Learning

This article introduces quantum intelligence networks (QINs): large-scale, autonomous networks of quantum-enabled learning entities with varied architectures, interconnected through quantum communications, processing multiple types of data. While we witness unprecedented developments in quantum-enabled learning, most studies assume that each of the learning models works individually, overlooking the potential for collaboration through non-centralized information exchange. Furthermore, we strongly advocate that it should not rely exclusively on classical information exchange, due to the rising security concerns posed by quantum algorithms. To address this pressing need, this article calls for the development of QINs, first highlighting the importance of integrating quantum communications into learning, and then detailing the necessary quantum communication protocols. Subsequently, it discusses the realization of QINs, summarizing relevant practical approaches, and highlighting their feasibility. As the development of QINs gains prominence, collective efforts will be essential. To help catalyze this activity, we point out some prospective research directions.