Scalable Integration of Solid State Quantum Memories into a Photonic Network

Scalable Integration of Solid State Quantum Memories into a Photonic Network

Single nitrogen vacancy centers in nanostructured diamond form high quality nodes integrated into low-loss photonic circuitry, enabling on-chip detection and signal manipulation. Pre-selection provides near-unity yield. Long coherence times are demonstrated in integrated nodes.

Bibliographic Details
Main Authors: Mouradian, Sara L. (Contributor), Schroder, Tim (Contributor), Poitras, Carl B. (Author), Li, Luozhou (Contributor), Zheng, Jiabao (Author), Bayn, Igal (Author), Mower, Jacob (Contributor), Berggren, Karl K. (Contributor), Lipson, Michal (Author), Najafi, Faraz (Contributor), Goldstein, Jordan A. (Contributor), Chen, Edward H. (Contributor), Harris, Nicholas Christopher (Contributor), Dane, Andrew Edward (Contributor), Englund, Dirk Robert (Contributor)
Other Authors: Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science (Contributor), Massachusetts Institute of Technology. Research Laboratory of Electronics (Contributor)
Format: Article
Language:English
Published: Optical Society of America, 2016-05-12T16:05:24Z.
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Description
Summary:Single nitrogen vacancy centers in nanostructured diamond form high quality nodes integrated into low-loss photonic circuitry, enabling on-chip detection and signal manipulation. Pre-selection provides near-unity yield. Long coherence times are demonstrated in integrated nodes.

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