Please use this identifier to cite or link to this item: https://doi.org/10.1038/s41534-020-00340-8
Title: Experimental quantum homomorphic encryption
Authors: Zeuner, Jonas
Pitsios, Ioannis
Tan, Si-Hui
Sharma, Aditya N.
Fitzsimons, Joseph F. 
Osellame, Roberto
Walther, Philip
Issue Date: 5-Feb-2021
Publisher: Nature Research
Citation: Zeuner, Jonas, Pitsios, Ioannis, Tan, Si-Hui, Sharma, Aditya N., Fitzsimons, Joseph F., Osellame, Roberto, Walther, Philip (2021-02-05). Experimental quantum homomorphic encryption. npj Quantum Information 7 (1) : 25. ScholarBank@NUS Repository. https://doi.org/10.1038/s41534-020-00340-8
Rights: Attribution 4.0 International
Abstract: Quantum computers promise not only to outperform classical machines for certain important tasks, but also to preserve privacy of computation. For example, the blind quantum computing protocol enables secure delegated quantum computation, where a client can protect the privacy of their data and algorithms from a quantum server assigned to run the computation. However, this security comes with the practical limitation that the client and server must communicate after each step of computation. A practical alternative is homomorphic encryption, which does not require any interactions, while providing quantum-enhanced data security for a variety of computations. In this scenario, the server specifies the computation to be performed, and the client provides only the input data, thus enabling secure noninteractive computation. Here, we demonstrate homomorphic-encrypted quantum computing with unitary transformations of individual qubits, as well as multi-qubit quantum walk computations using single-photon states and non-birefringent integrated optics. The client encrypts their input in the photons’ polarization state, while the server performs the computation using the path degree of freedom. Our demonstration using integrated quantum photonics underlines the applicability of homomorphic-encrypted quantum computations, and shows the potential for delegated quantum computing using photons. © 2021, The Author(s).
Source Title: npj Quantum Information
URI: https://scholarbank.nus.edu.sg/handle/10635/233081
ISSN: 2056-6387
DOI: 10.1038/s41534-020-00340-8
Rights: Attribution 4.0 International
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