Continuous-variable quantum computing on encrypted data

The ability to perform computations on encrypted data is a powerful tool for protecting a client’s privacy, especially in today’s era of cloud and distributed computing. In terms of privacy, the best solutions that classical techniques can achieve are unfortunately not unconditionally secure in the...

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Veröffentlicht in:Nature communications Jg. 7; H. 1; S. 13795 - 7
Hauptverfasser: Marshall, Kevin, Jacobsen, Christian S., Schäfermeier, Clemens, Gehring, Tobias, Weedbrook, Christian, Andersen, Ulrik L.
Format: Journal Article
Sprache:Englisch
Veröffentlicht: London Nature Publishing Group UK 14.12.2016
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ISSN:2041-1723, 2041-1723
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Zusammenfassung:The ability to perform computations on encrypted data is a powerful tool for protecting a client’s privacy, especially in today’s era of cloud and distributed computing. In terms of privacy, the best solutions that classical techniques can achieve are unfortunately not unconditionally secure in the sense that they are dependent on a hacker’s computational power. Here we theoretically investigate, and experimentally demonstrate with Gaussian displacement and squeezing operations, a quantum solution that achieves the security of a user’s privacy using the practical technology of continuous variables. We demonstrate losses of up to 10 km both ways between the client and the server and show that security can still be achieved. Our approach offers a number of practical benefits (from a quantum perspective) that could one day allow the potential widespread adoption of this quantum technology in future cloud-based computing networks. Performing computation on encrypted data is a power tool for protecting a client’s privacy, but the best solutions achieved by classical approaches are only computationally secure. Here authors present and experimentally demonstrate a quantum protocol to achieve this using continuous variables.
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These authors contributed equally to this work
ISSN:2041-1723
2041-1723
DOI:10.1038/ncomms13795