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Published on: May 30, 2014
Homodyne-based quantum random number generator at 2.9 Gbps secure against quantum side-information
Tobias Gehring1, Cosmo Lupo2,3, Arne Kordts4
1Center for Macroscopic Quantum States (bigQ), Department of Physics, Technical University of Denmark, Fysikvej, 2800, Kgs. Lyngby, Denmark. tobias.gehring@fysik.dtu.dk.
This study presents a quantum random number generator using vacuum state homodyne measurements. It offers enhanced security by considering quantum side-information, achieving a 2.9 Gbit/s generation rate.
Area of Science:
- Quantum Information Science
- Quantum Optics
- Cryptography
Background:
- Quantum random number generators (QRNGs) offer enhanced unpredictability over classical methods.
- Homodyne measurements of vacuum states are a common QRNG approach.
- Existing security proofs often overlook quantum side-information and practical imperfections.
Purpose of the Study:
- To experimentally implement a QRNG based on vacuum state homodyne measurements.
- To develop a security proof that incorporates quantum side-information.
- To analyze and bound the min-entropy of the generated random numbers considering real-world imperfections.
Main Methods:
- Experimental implementation of a QRNG using homodyne detection of the vacuum state.
- Derivation of a security proof considering quantum side-information.
- Characterization of the system's stochastic model and min-entropy.
- Inclusion of noise process assumptions (Gaussianity, stationarity) and practical limitations (finite bandwidth, ADC imperfections).
Main Results:
- Demonstration of a trusted, device-dependent QRNG.
- Achieved a real-time random number generation rate of 2.9 Gbit/s.
- Provided a security analysis that accounts for quantum side-information and practical device imperfections.
Conclusions:
- The developed QRNG offers enhanced security by treating side-information quantum mechanically.
- The security analysis is more comprehensive by including realistic noise models and imperfections.
- This work advances the practical implementation and security understanding of quantum random number generation.
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