Continuous-variable quantum computing on encrypted data

Research output: Contribution to journalJournal article – Annual report year: 2016Researchpeer-review

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Continuous-variable quantum computing on encrypted data. / Marshall, Kevin; Jacobsen, Christian Scheffmann; Schäfermeier, Clemens; Gehring, Tobias; Weedbrook, Christian; Andersen, Ulrik Lund.

In: Nature Communications, Vol. 7, 13795, 2016.

Research output: Contribution to journalJournal article – Annual report year: 2016Researchpeer-review

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@article{15e252660f0a4e3eab220d51e7ae62a3,
title = "Continuous-variable quantum computing on encrypted data",
abstract = "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.",
author = "Kevin Marshall and Jacobsen, {Christian Scheffmann} and Clemens Sch{\"a}fermeier and Tobias Gehring and Christian Weedbrook and Andersen, {Ulrik Lund}",
year = "2016",
doi = "10.1038/ncomms13795",
language = "English",
volume = "7",
journal = "Nature Communications",
issn = "2041-1723",
publisher = "Nature Publishing Group",

}

RIS

TY - JOUR

T1 - Continuous-variable quantum computing on encrypted data

AU - Marshall, Kevin

AU - Jacobsen, Christian Scheffmann

AU - Schäfermeier, Clemens

AU - Gehring, Tobias

AU - Weedbrook, Christian

AU - Andersen, Ulrik Lund

PY - 2016

Y1 - 2016

N2 - 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.

AB - 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.

U2 - 10.1038/ncomms13795

DO - 10.1038/ncomms13795

M3 - Journal article

VL - 7

JO - Nature Communications

JF - Nature Communications

SN - 2041-1723

M1 - 13795

ER -