Quantum randomness certified by the uncertainty principle
By G. Vallone, D. Marangon, M. Tomasin, Paolo Villoresi. 2014
148 citations recorded by the source corpus.
We present an efficient method to extract the amount of true randomness that can be obtained by a Quantum Random Number Generator (QRNG). By repeating the measurements of a quantum system and by swapping between two mutually unbiased bases, a lower bound of the achievable true randomness can be evaluated. The bound is obtained thanks to the uncertainty principle of complementary measurements applied to min- and max- entropies. We tested our method with two different QRNGs, using a train of qubits or ququart, demonstrating the scalability toward practical applications.
Subfields: Artificial Intelligence, Atomic and Molecular Physics, and Optics, Computational Theory and Mathematics
View Paper: https://www.semanticscholar.org/paper/b921bdf49ca8a5767d37d00449e8117cea1fa93f
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In Artificial Intelligence
In Atomic and Molecular Physics, and Optics
In Computational Theory and Mathematics
Citations in the corpus
- Quantum random number generators (2016, methodology): “The certification method in (Vallone et al., 2014) is designed to ensure privacy without full tomography by switching between two mutually unbiased bases (Bandyopadhyay et al., 2002; Durt et al., 2010).”