THE DEVELOPMENT OF HYBRID QUANTUM ANNEALING ALGORITHM FOR OPTIMIZING ENSEMBLE LEARNING
Quantum annealing (QA) is a quantum computing approach widely used to address optimization problems and probabilistic sampling. Despite being relatively new, this approach has been extensively applied to optimize machine learning problems such as clustering, support vector machines, and others. M...
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| Format: | Dissertations |
| Language: | Indonesia |
| Online Access: | https://digilib.itb.ac.id/gdl/view/81790 |
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| Institution: | Institut Teknologi Bandung |
| Language: | Indonesia |
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