Indistinguishability between quantum randomness and pseudo-randomness
under efficiently calculable randomness measures
- URL: http://arxiv.org/abs/2309.11117v4
- Date: Tue, 16 Jan 2024 01:37:15 GMT
- Title: Indistinguishability between quantum randomness and pseudo-randomness
under efficiently calculable randomness measures
- Authors: Toyohiro Tsurumaru, Tsubasa Ichikawa, Yosuke Takubo, Toshihiko Sasaki,
Jaeha Lee, Izumi Tsutsui
- Abstract summary: We present a no-go theorem for the distinguishability between quantum random numbers (i.e., random numbers generated quantum mechanically) and pseudo-random numbers (i.e., random numbers generated algorithmically)
The theorem states that one cannot distinguish these two types of random numbers if the quantum random numbers are efficiently classically simulatable and the randomness measure used for the distinction is efficiently computable.
- Score: 6.201566048090889
- License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
- Abstract: We present a no-go theorem for the distinguishability between quantum random
numbers (i.e., random numbers generated quantum mechanically) and pseudo-random
numbers (i.e., random numbers generated algorithmically). The theorem states
that one cannot distinguish these two types of random numbers if the quantum
random numbers are efficiently classically simulatable and the randomness
measure used for the distinction is efficiently computable. We derive this
theorem by using the properties of cryptographic pseudo-random number
generators, which are believed to exist in the field of cryptography. Our
theorem is found to be consistent with the analyses on the actual data of
quantum random numbers generated by the IBM Quantum and also those obtained in
the Innsbruck experiment for the Bell test, where the degrees of randomness of
these two set of quantum random numbers turn out to be essentially
indistinguishable from those of the corresponding pseudo-random numbers.
Previous observations on the algorithmic randomness of quantum random numbers
are also discussed and reinterpreted in terms of our theorems and data
analyses.
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