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arxiv: 1510.08960 · v1 · pith:7Q2VCA6Onew · submitted 2015-10-30 · 🪐 quant-ph

Loss-tolerant measurement-device-independent quantum random number generation

classification 🪐 quant-ph
keywords detectorrandomnessqrngrandomgenerationmeasurement-device-independentnumberparts
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Quantum random number generators (QRNGs) output genuine random numbers based upon the uncertainty principle. A QRNG contains two parts in general --- a randomness source and a readout detector. How to remove detector imperfections has been one of the most important questions in practical randomness generation. We propose a simple solution, measurement-device-independent QRNG, which not only removes all detector side channels but is robust against losses. In contrast to previous fully device-independent QRNGs, our scheme does not require high detector efficiency or nonlocality tests. Simulations show that our protocol can be implemented efficiently with a practical coherent state laser and other standard optical components. The security analysis of our QRNG consists mainly of two parts: measurement tomography and randomness quantification, where several new techniques are developed to characterize the randomness associated with a positive-operator valued measure.

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