Quantum Computing for Computer Scientists
Quantum Computing for Computer Scientists
Towards software test data generation using discrete quantum particle swarm optimization
Proceedings of the 3rd India software engineering conference
Evolution of quantum algorithms
Proceedings of the 12th annual conference companion on Genetic and evolutionary computation
Quantum Computation and Quantum Information: 10th Anniversary Edition
Quantum Computation and Quantum Information: 10th Anniversary Edition
IEEE Transactions on Pattern Analysis and Machine Intelligence
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A Quantum-Modeled K-Means clustering algorithm for multi-band image segmentation is explored and evaluated. Data sets of interest include multi-band RGB imagery, which subsequent to classification is analyzed and assessed for accuracy. Results demonstrate that under specific conditions the algorithm exhibits improved accuracy, when compared to its classical counterpart.