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20112026
most citedEffective training of deep convolutional neural networks for hyperspectral image classification through artificial labeling

25 citations · 81 across the 17 of their papers we have counts for

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quant-ph2025★ 1 cited

Quantum-aware Transformer model for state classification

Przemysław Sekuła, Michał Romaszewski, Przemysław Głomb +2

Entanglement is a fundamental feature of quantum mechanics, playing a crucial role in quantum information processing. However, classifying entangled states, particularly in the mix…

quant-ph2015★ 17 cited

Quantum Hidden Markov Models based on Transition Operation Matrices

Michał Cholewa, Piotr Gawron, Przemysław Głomb +1

In this work, we extend the idea of Quantum Markov chains [S. Gudder. Quantum Markov chains. J. Math. Phys., 49(7), 2008] in order to propose Quantum Hidden Markov Models (QHMMs).…