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Spatially distributed multipartite entanglement enables EPR steering of atomic clouds

A key resource for distributed quantum-enhanced protocols is entanglement between spatially separated modes. Yet, the robust generation and detection of nonlocal entanglement between spatially separated regions of an ultracold atomic system remains a challenge. Here, we use spin mixing in a tightly...

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Main Authors: Kunkel, Philipp (Author) , Prüfer, Maximilian (Author) , Strobel, Helmut (Author) , Linnemann, Daniel (Author) , Frölian, Anika (Author) , Gasenzer, Thomas (Author) , Gärttner, Martin (Author) , Oberthaler, Markus K. (Author)
Format: Article (Journal)
Language:English
Published: 2018
In: Science
Year: 2018, Volume: 360, Issue: 6387, Pages: 413-416$
ISSN:1095-9203
DOI:10.1126/science.aao2254
Online Access:Verlag, Volltext: http://dx.doi.org/10.1126/science.aao2254
Verlag, Volltext: http://science.sciencemag.org/content/360/6387/413
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Author Notes:Philipp Kunkel, Maximilian Prüfer, Helmut Strobel, Daniel Linnemann, Anika Frölian, Thomas Gasenzer, Martin Gärttner, Markus K. Oberthaler
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Summary:A key resource for distributed quantum-enhanced protocols is entanglement between spatially separated modes. Yet, the robust generation and detection of nonlocal entanglement between spatially separated regions of an ultracold atomic system remains a challenge. Here, we use spin mixing in a tightly confined Bose-Einstein condensate to generate an entangled state of indistinguishable particles in a single spatial mode. We show experimentally that this local entanglement can be spatially distributed by self-similar expansion of the atomic cloud. Spatially resolved spin read-out is used to reveal a particularly strong form of quantum correlations known as Einstein-Podolsky-Rosen steering between distinct parts of the expanded cloud. Based on the strength of Einstein-Podolsky-Rosen steering we construct a witness, which testifies up to genuine five-partite entanglement.
Item Description:Gesehen am 28.06.2018
Physical Description:Online Resource
ISSN:1095-9203
DOI:10.1126/science.aao2254

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