Quantum memories are key ingredients for future quantum networks. Developing methods for their certification is therefore an important, yet challenging, problem. In this work, we present a general framework for certifying quantum memories and quantifying their performance in an operational and efficient manner, taking...
Victor Barizien, Sophie Egelhaaf, Angelo Gelmini Rodriguez et al.· 0 citations
Entanglement generation between telecommunication photons and matter is central to fibre-based quantum repeaters. Achieving practical communication rates requires multiplexing, which multimode quantum memories can provide. Rare-earth-ion ensembles offer large temporal multimode storage by exploiting the numerous spectr...
Angelo Gelmini Rodriguez, L. Nicolas, T. S. Mejia et al.· 1 citation
This review of hybrid quantum neural networks for the machine-learning and quantum-machine-learning communities provides a structured view of the state of the field and helps identify promising paths for future research and application-driven development.
Léo Monbroussou, Maniraman Periyasamy, Viacheslav Kuzmin et al.· 1 citation
Programmable quantum devices nominally act on a Hilbert space whose dimension grows exponentially with the number of constituents, but the presence of noise makes it unlikely that they remain coherent across all of this immense Hilbert space. Then, what is the effective coherent quantum dimension that should be associa...
Pavel Sekatski· 0 citations
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