On circuit-based hybrid quantum neural networks for remote sensing imagery classification
A Sebastianelli, DA Zaidenberg… - IEEE Journal of …, 2021 - ieeexplore.ieee.org
This article aims to investigate how circuit-based hybrid quantum convolutional neural
networks (QCNNs) can be successfully employed as image classifiers in the context of …
networks (QCNNs) can be successfully employed as image classifiers in the context of …
Quantum computing in logistics and supply chain management-an overview
F Phillipson - arXiv preprint arXiv:2402.17520, 2024 - arxiv.org
The work explores the integration of quantum computing into logistics and supply chain
management, emphasising its potential for use in complex optimisation problems. The …
management, emphasising its potential for use in complex optimisation problems. The …
Quantum enhanced machine learning: An overview
PV Zahorodko, YO Modlo, OO Kalinichenko… - Proceedings of the 3rd …, 2021 - lib.iitta.gov.ua
Quantum enhanced machine learning: an overview Page 1 Quantum enhanced machine
learning: an overview Pavlo V. Zahorodkoa, Yevhenii O. Modlod, Olga O. Kalinichenkoa …
learning: an overview Pavlo V. Zahorodkoa, Yevhenii O. Modlod, Olga O. Kalinichenkoa …
Quantum machine learning for natural language processing application
S Pandey, NJ Basisth, T Sachan, N Kumari… - Physica A: Statistical …, 2023 - Elsevier
Quantum computing is a speedily emerging area that applies quantum mechanics
properties to solve complex problems that are difficult for classical computing. Machine …
properties to solve complex problems that are difficult for classical computing. Machine …
Topgen: Topology-aware bottom-up generator for variational quantum circuits
Variational Quantum Algorithms (VQA) are promising to demonstrate quantum advantages
on near-term devices. Designing ansatz, a variational circuit with parameterized gates, is of …
on near-term devices. Designing ansatz, a variational circuit with parameterized gates, is of …
Comparisons of performance between quantum-enhanced and classical machine learning algorithms on the IBM Quantum Experience
PV Zahorodko, SO Semerikov… - Journal of physics …, 2021 - iopscience.iop.org
Abstract Machine learning is now widely used almost everywhere, primarily for forecasting.
In the broadest sense, the machine learning objective may be summarized as an …
In the broadest sense, the machine learning objective may be summarized as an …
Advantages and bottlenecks of quantum machine learning for remote sensing
DA Zaidenberg, A Sebastianelli… - … and Remote Sensing …, 2021 - ieeexplore.ieee.org
This article aims to explore the potential of current approaches for quantum image
classification in the context of remote sensing. After a brief outline of quantum computers …
classification in the context of remote sensing. After a brief outline of quantum computers …
[HTML][HTML] Quantum reinforcement learning: Comparing quantum annealing and gate-based quantum computing with classical deep reinforcement learning
NMP Neumann, PBUL de Heer, F Phillipson - Quantum Information …, 2023 - Springer
In this paper, we present implementations of an annealing-based and a gate-based
quantum computing approach for finding the optimal policy to traverse a grid and compare …
quantum computing approach for finding the optimal policy to traverse a grid and compare …
Quantum computing for military applications
NMP Neumann, MPP van Heesch… - 2021 International …, 2021 - ieeexplore.ieee.org
Quantum computers have the potential to outshine classical alternatives in solving specific
problems, under the assumption of mature enough hardware. A specific subset of these …
problems, under the assumption of mature enough hardware. A specific subset of these …
[HTML][HTML] Indoor–outdoor detection in mobile networks using quantum machine learning approaches
F Phillipson, RS Wezeman, I Chiscop - Computers, 2021 - mdpi.com
Communication networks are managed more and more by using artificial intelligence.
Anomaly detection, network monitoring and user behaviour are areas where machine …
Anomaly detection, network monitoring and user behaviour are areas where machine …