Implementation BRQI grayscale image model on IBM Quantum Experience

Gabriela Mogos*

*Corresponding author for this work

Research output: Chapter in Book or Report/Conference proceedingConference Proceedingpeer-review

Abstract

Techniques for exploiting visual information play an important and topical role. Image processing is an area of Artificial Intelligence, dealing with how to represent, reconstruct, classify, recognition and analysis of images using computers. The idea behind this study is to follow how the quantum properties of superposition and entanglement are used by the Bit-plane Representation of Quantum Images BRQI model, grayscale image, to map and store the image as qubits. For this, we used the IBM Quantum Experience platform that provides the opportunity to implement and run programs with quantum applications.

Original languageEnglish
Title of host publicationICIT 2021 - Proceedings of the 9th International Conference on Information Technology
Subtitle of host publicationIoT and Smart City
PublisherAssociation for Computing Machinery
Pages74-78
Number of pages5
ISBN (Electronic)9781450384971
DOIs
Publication statusPublished - 22 Dec 2021
Event9th International Conference on Information Technology: IoT and Smart City, ICIT 2021 - Virtual, Online, China
Duration: 22 Dec 202125 Dec 2021

Publication series

NameACM International Conference Proceeding Series

Conference

Conference9th International Conference on Information Technology: IoT and Smart City, ICIT 2021
Country/TerritoryChina
CityVirtual, Online
Period22/12/2125/12/21

Keywords

  • IBMQ
  • quantum circuit
  • quantum computation
  • quantum image processing

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