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Trapped Ion Quantum Computing
Increased Certification of Semi-device Independent Random Numbers using Many Inputs and More Postprocessing
arXiv
Authors: Piotr Mironowicz, Armin Tavakoli, Alley Hameedi, Breno Marques, Marcin Pawlowski, Mohamed Bourennane
Year
2015
Paper ID
26067
Status
Preprint
Abstract Read
~2 min
Abstract Words
195
Citations
N/A
Abstract
Quantum communication with systems of dimension larger than two provides advantages in information processing tasks. Examples include higher rates of key distribution and random number generation. The main disadvantage of using such multi-dimensional quantum systems is the increased complexity of the experimental setup. Here, we analyze a not-so-obvious problem: the relation between randomness certification and computational requirements of the postprocessing of experimental data. In particular, we consider semi-device independent randomness certification from an experiment using a four dimensional quantum system to violate the classical bound of a random access code. Using state-of-the-art techniques, a smaller quantum violation requires more computational power to demonstrate randomness, which at some point becomes impossible with today's computers although the randomness is (probably) still there. We show that by dedicating more input settings of the experiment to randomness certification, then by more computational postprocessing of the experimental data which corresponds to a quantum violation, one may increase the amount of certified randomness. Furthermore, we introduce a method that significantly lowers the computational complexity of randomness certification. Our results show how more randomness can be generated without altering the hardware and indicate a path for future semi-device independent protocols to follow.
Why This Paper Matters
- This paper contributes to the Trapped-Ion Quantum Computing research area in the Quantum Articles archive.
- It adds a 2015 reference point for readers tracking recent quantum research.
- Quantum communication with systems of dimension larger than two provides advantages in information processing tasks.
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