Paper 2020/078
Quantum Random Number Generation with the Superconducting Quantum Computer IBM 20Q Tokyo
Kentaro Tamura and Yutaka Shikano
Abstract
Quantum random number generators (QRNGs) produce theoretically unpredictable random numbers. A typical QRNG is implemented in quantum optics [Herrero-Collantes, M., Garcia-Escartin, J. C.: Quantum Random Number Generators. Rev. Mod. Phys. \textbf{89}, 015004 (2017)]. Quantum computers become QRNGs when given certain programs. The simplest example of such a program applies the Hadamard gate on all qubits and performs measurement. As a result of repeatedly running this program on a 20-qubit superconducting quantum computer (IBM 20Q Tokyo), we obtained a sample with a length of 43,560. However, statistical analysis showed that this sample was biased and correlated. One of the post-processed samples passed statistical tests. To show the effectiveness of post-processing, a larger sample size is required. The present study of quantum random number generation and statistical testing may provide a potential candidate for benchmarking tests of actual quantum computing devices.
Note: Published version of Proceedings of Workshop on Quantum Computing and Quantum Information edited by Mika Hirvensalo and Abuzer Yakaryilmaz held on June 7th, 2019 at Fuchu, Tokyo.
Metadata
- Available format(s)
-
PDF
- Category
- Foundations
- Publication info
- Published elsewhere. TUCS Lecture Notes 30, 13 - 25 (2019)
- Keywords
- pseudo-randomnessquantum random number generator
- Contact author(s)
-
cicero @ keio jp
yutaka shikano @ keio jp - History
- 2020-01-26: revised
- 2020-01-26: received
- See all versions
- Short URL
- https://ia.cr/2020/078
- License
-
CC BY
BibTeX
@misc{cryptoeprint:2020/078,
author = {Kentaro Tamura and Yutaka Shikano},
title = {Quantum Random Number Generation with the Superconducting Quantum Computer {IBM} {20Q} Tokyo},
howpublished = {Cryptology {ePrint} Archive, Paper 2020/078},
year = {2020},
url = {https://eprint.iacr.org/2020/078}
}
