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Quantum Computing Approaches for Vector Quantization—Current Perspectives and Developments
In the field of machine learning, vector quantization is a category of low-complexity approaches that are nonetheless powerful for data representation and clustering or classification tasks. Vector quantization is based on the idea of representing a data or a class distribution using a small set of...
| Autores principales: | , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
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MDPI
2023
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| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10048050/ https://www.ncbi.nlm.nih.gov/pubmed/36981428 http://dx.doi.org/10.3390/e25030540 |