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Adiabatic Quantum Support Vector Machines
Finally, we perform a scalability study in which we compute the total training times of the quantum approach and the classical approach with increasing number of features and number of data points in the training dataset.
Quantum Computing based Hybrid Solution Strategies for Large-scale Discrete-Continuous Optimization Problems
The proposed QC-based solution strategies enjoy high computational efficiency in terms of solution quality and computation time, by utilizing the unique features of both classical and quantum computers.
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