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quant-ph2026
FRQI Pairs method for image classification using Quantum Recurrent Neural Network
Rafał Potempa, Michał Kordasz, Sundas Naqeeb Khan +4
This study aims to introduce the FRQI Pairs method to a wider audience, a novel approach to image classification using Quantum Recurrent Neural Networks (QRNN) with Flexible Repres…
quant-ph2025
GEQIE Framework for Rapid Quantum Image Encoding
Rafał Potempa, Michał Kordasz, Józef P. Cyran +2
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…
quant-ph2023
Deep learning as a tool for quantum error reduction in quantum image processing
Krzysztof Werner, Kamil Wereszczyński, Rafał Potempa +1
Despite the limited availability and quantum volume of quantum computers, quantum image representation is a widely researched area. Currently developed methods use quantum entangle…