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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| Published in: | Nature communications Vol. 7; no. 1; pp. 13795 - 7 |
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| Main Authors: | , , , , , |
| Format: | Journal Article |
| Language: | English |
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Nature Publishing Group UK
14.12.2016
Nature Publishing Group Nature Portfolio |
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| ISSN: | 2041-1723, 2041-1723 |
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| 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.
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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| AbstractList | 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. 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. 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.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. |
| ArticleNumber | 13795 |
| Author | Gehring, Tobias Andersen, Ulrik L. Jacobsen, Christian S. Schäfermeier, Clemens Weedbrook, Christian Marshall, Kevin |
| Author_xml | – sequence: 1 givenname: Kevin surname: Marshall fullname: Marshall, Kevin email: marshall@physics.utoronto.ca organization: Department of Physics, University of Toronto – sequence: 2 givenname: Christian S. surname: Jacobsen fullname: Jacobsen, Christian S. organization: Department of Physics, Technical University of Denmark – sequence: 3 givenname: Clemens surname: Schäfermeier fullname: Schäfermeier, Clemens organization: Department of Physics, Technical University of Denmark – sequence: 4 givenname: Tobias surname: Gehring fullname: Gehring, Tobias email: tobias.gehring@fysik.dtu.dk organization: Department of Physics, Technical University of Denmark – sequence: 5 givenname: Christian surname: Weedbrook fullname: Weedbrook, Christian email: christian.weedbrook@gmail.com organization: CipherQ – sequence: 6 givenname: Ulrik L. surname: Andersen fullname: Andersen, Ulrik L. organization: Department of Physics, Technical University of Denmark |
| BackLink | https://www.ncbi.nlm.nih.gov/pubmed/27966528$$D View this record in MEDLINE/PubMed |
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| Snippet | 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... 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... 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... |
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| SubjectTerms | 639/766/400/482 639/766/483/481 Cloud computing Computer applications Computer networks Continuity (mathematics) Distributed processing Encryption Humanities and Social Sciences multidisciplinary Privacy Quantum computing Science Science (multidisciplinary) |
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| Title | Continuous-variable quantum computing on encrypted data |
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