Results 21 to 30 of about 3,905,200 (321)
Indoor–Outdoor Detection in Mobile Networks Using Quantum Machine Learning Approaches
Computers, 2021 Communication networks are managed more and more by using artificial intelligence. Anomaly detection, network monitoring and user behaviour are areas where machine learning offers advantages over more traditional methods.
Frank Phillipson +2 more
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Frontiers in Physics, 2023 This study highlights the drawbacks of current quantum classifiers that limit their efficiency and data processing capabilities in big data environments.
Naihua Ji +5 more
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Support Vector Machines with Quantum State Discrimination
Quantum Reports, 2021 We analyze possible connections between quantum-inspired classifications and support vector machines. Quantum state discrimination and optimal quantum measurement are useful tools for classification problems.
Roberto Leporini, Davide Pastorello
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Quantum convolutional neural network for classical data classification [PDF]
Quantum Machine Intelligence, 2021 With the rapid advance of quantum machine learning, several proposals for the quantum-analogue of convolutional neural network (CNN) have emerged. In this work, we benchmark fully parameterized quantum convolutional neural networks (QCNNs) for classical ...
Tak Hur, L. Kim, D. Park
semanticscholar +1 more source
Entropy, 2022 Quantum machine learning is a promising application of quantum computing for data classification. However, most of the previous research focused on binary classification, and there are few studies on multi-classification.
Yi Zeng +4 more
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Vulnerability of quantum classification to adversarial perturbations [PDF]
Physical Review A, 2019 It is expected that the quantum advantage of certain classification problems, like quantum-enhanced machine learning algorithms, will become more pronounced as the Hilbert-space dimension grows, but care must be taken with perturbations on the system, as
Nana Liu, P. Wittek
semanticscholar +1 more source
Hybrid quantum-classical convolutional neural network for phytoplankton classification
Frontiers in Marine Science, 2023 The taxonomic composition and abundance of phytoplankton have a direct impact on marine ecosystem dynamics and global environment change. Phytoplankton classification is crucial for phytoplankton analysis, but it is challenging due to their large ...
Shangshang Shi +6 more
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Unsupervised Classification of Quantum Data [PDF]
Physical Review X, 2019 Close to published version, with new results on known classical and quantum states. 11 + 11 pages, 3 figures. Comments are welcome!
Sentís Herrera, Gael +4 more
openaire +5 more sources
On Quantum Methods for Machine Learning Problems Part I: Quantum Tools
Big Data Mining and Analytics, 2020 This is a review of quantum methods for machine learning problems that consists of two parts. The first part, "quantum tools", presents the fundamentals of qubits, quantum registers, and quantum states, introduces important quantum tools based on known ...
Farid Ablayev +5 more
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Mathematics, 2023 Image classification is typically a research area that trains an algorithm for accurately identifying subjects in images that have never been seen before.
Shtwai Alsubai +5 more
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