A New Quantum Video Processing Algorithm Based on the NEQR Technique

The main goal of this paper is to present a new way of processing a video file using a combination of multiple quantum methods. The design is built upon the novel enhanced quantum representation technique, NEQR, which is then expanded using ideas such as image segmentation, implemented with the help of one or multiple comparators, binarization and cycle shift. This approach allows us to process all frames in parallel according to the desired parameters-one or more thresholds. A demonstration circuit for the proposed design, using a couple of frames, that sums together all the concepts is implemented using the Python programming language and Qiskit open-source framework, made available by IBM. The circuits are analyzed in the experimental section, using the Simulator component and configured using the noise properties of real devices, where we present different relevant metrics obtained by processing the simulation results.

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Publication Details

Journal
Entropy
Published
2026-02-01
DOI
https://doi.org/10.3390/e28020168
Primary Topic
Quantum Computing Algorithms and Architecture
Type
article
Field-Weighted Citation Impact
0.00
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article

A New Quantum Video Processing Algorithm Based on the NEQR Technique

Alexandru Tudorache, Adrian Prodan, Vasile ion Manta
Entropy
Quantum Computing Algorithms and Architecture
article

A New Quantum Video Processing Algorithm Based on the NEQR Technique

Alexandru Tudorache, Adrian Prodan, Vasile ion Manta
article en

Abstract

The main goal of this paper is to present a new way of processing a video file using a combination of multiple quantum methods. The design is built upon the novel enhanced quantum representation technique, NEQR, which is then expanded using ideas such as image segmentation, implemented with the help of one or multiple comparators, binarization and cycle shift. This approach allows us to process all frames in parallel according to the desired parameters-one or more thresholds. A demonstration circuit for the proposed design, using a couple of frames, that sums together all the concepts is implemented using the Python programming language and Qiskit open-source framework, made available by IBM. The circuits are analyzed in the experimental section, using the Simulator component and configured using the noise properties of real devices, where we present different relevant metrics obtained by processing the simulation results.

EntropyVol. 28(2)
Gheorghe Asachi Technical University of Iași (RO)
Openalex Percentile: Top 71%
Quantum Computing Algorithms and Architecture
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