True Random Number Generator using Superconducting Qubits

Abdullah Ash-Saki, Mahabubul Alam, Swaroop Ghosh

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


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.
Number of pages2
ISBN (Electronic)9781728121123
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
ISSN (Print)1548-3770


Conference2019 Device Research Conference, DRC 2019
Country/TerritoryUnited States
CityAnn Arbor

All Science Journal Classification (ASJC) codes

  • Electrical and Electronic Engineering


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