GEQIE Framework for Rapid Quantum Image Encoding

Fuente: arXiv
Gespeichert in:
Bibliographische Detailangaben
Hauptverfasser: Potempa, Rafał, Kordasz, Michał, Cyran, Józef P., Wereszczyński, Kamil, Simiński, Krzysztof
Format: Preprint
Veröffentlicht: 2025
Schlagworte:
Online-Zugang:
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
_version_ 1866911348161511424
author Potempa, Rafał
Kordasz, Michał
Cyran, Józef P.
Wereszczyński, Kamil
Simiński, Krzysztof
author_facet Potempa, Rafał
Kordasz, Michał
Cyran, Józef P.
Wereszczyński, Kamil
Simiński, Krzysztof
contents This work presents a Python framework named after the General Equation of Quantum Image Encoding (GEQIE). The framework creates the image-encoding state using a unitary gate, which can later be transpiled to target quantum backends. The benchmarking results, simulated with different noise levels, demonstrate the correctness of the already implemented encoding methods and the usability of the framework for more sophisticated research tasks based on quantum image encodings. Additionally, we present a showcase example of Cosmic Web dark-matter density snapshot encoding and high-accuracy retrieval (PCC = 0.995) to demonstrate the extendability of the GEQIE framework to multidimensional data and its applicability to other fields of research.
format Preprint
id arxiv_https___arxiv_org_abs_2512_24973
institution arXiv
publishDate 2025
record_format arxiv
spellingShingle GEQIE Framework for Rapid Quantum Image Encoding
Potempa, Rafał
Kordasz, Michał
Cyran, Józef P.
Wereszczyński, Kamil
Simiński, Krzysztof
Quantum Physics
This work presents a Python framework named after the General Equation of Quantum Image Encoding (GEQIE). The framework creates the image-encoding state using a unitary gate, which can later be transpiled to target quantum backends. The benchmarking results, simulated with different noise levels, demonstrate the correctness of the already implemented encoding methods and the usability of the framework for more sophisticated research tasks based on quantum image encodings. Additionally, we present a showcase example of Cosmic Web dark-matter density snapshot encoding and high-accuracy retrieval (PCC = 0.995) to demonstrate the extendability of the GEQIE framework to multidimensional data and its applicability to other fields of research.
title GEQIE Framework for Rapid Quantum Image Encoding
topic Quantum Physics
url https://arxiv.org/abs/2512.24973