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Quantum Classification Algorithms
2020This chapter covers the topic of quantum classification algorithms. You will see how quantum classification algorithms are implemented in real life. Code examples are presented for different algorithms such as quantum classifiers, support vector machines, and sparse support vector machines.
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Quantum Representation for Sentiment Classification
2022 IEEE International Conference on Quantum Computing and Engineering (QCE), 2022Fariska Z. Ruskanda +6 more
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Quantum Classification of Malware
2014The D-Wave architecture is a unique approach to computing which utilizes quantum annealing to solve discrete optimization problems. Applications for D-Wave machines include binary classification, complex protein-folding models, and heuristics for intractable problems such as the Traveling Salesman Problem.
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Classification and Construction of Quantum Communication Systems
Communications in Mathematical Physics, 1998zbMATH Open Web Interface contents unavailable due to conflicting licenses.
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Quantum Few-Shot Image Classification
IEEE Transactions on CyberneticsFew-shot learning algorithms frequently exhibit suboptimal performance due to the limited availability of labeled data. This article presents a novel quantum few-shot image classification methodology aimed at enhancing the efficacy of few-shot learning algorithms at both the data and parameter levels.
Zhihao Huang +2 more
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On Circuit-Based Hybrid Quantum Neural Networks for Remote Sensing Imagery Classification
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2022Alessandro Sebastianelli +2 more
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Quantum K-Nearest-Neighbor Image Classification Algorithm Based on K-L Transform
International Journal of Theoretical Physics, 2021Nanrun Zhou, Zhou Nan-Run
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Advances in Quantum Machine Learning and Deep Learning for Image Classification: A Survey
Neurocomputing, 2023Ruba Kharsa +2 more
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