True Random Number Generator using Superconducting Qubits

Abdullah Ash-Saki, Mahabubul Alam, Swaroop Ghosh

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

We evaluated the quality of conventional quantum True Random Number Generator (TRNG) using superconducting qubits from IBM. Our analysis indicated that the 1/0 ratio is severely affected by the noise. We proposed swapping of readout qubit and parameter optimization to fix readout and gate errors. We validate our proposals by running experiments of IBM's su-perconducitng qubit based quantum computer. Experiments show deviation of \approx 35\% from ideal 1/0 ratio for baseline implementation. After the application of our proposed techniques the ratio improves and reaches close to ideal value of 1. The random bits generated through our techniques passes NIST statistical tests as well.

Original languageEnglish (US)
Title of host publication2019 Device Research Conference, DRC 2019
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages185-186
Number of pages2
ISBN (Electronic)9781728121123
DOIs
StatePublished - Jun 2019
Event2019 Device Research Conference, DRC 2019 - Ann Arbor, United States
Duration: Jun 23 2019Jun 26 2019

Publication series

NameDevice Research Conference - Conference Digest, DRC
Volume2019-June
ISSN (Print)1548-3770

Conference

Conference2019 Device Research Conference, DRC 2019
CountryUnited States
CityAnn Arbor
Period6/23/196/26/19

All Science Journal Classification (ASJC) codes

  • Electrical and Electronic Engineering

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  • Cite this

    Ash-Saki, A., Alam, M., & Ghosh, S. (2019). True Random Number Generator using Superconducting Qubits. In 2019 Device Research Conference, DRC 2019 (pp. 185-186). [9046456] (Device Research Conference - Conference Digest, DRC; Vol. 2019-June). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/DRC46940.2019.9046456