| Autor: |
Iyer, Vijayasri, Ganti, Bhargava, Hima Vyshnavi, A. M., Krishnan Namboori, P. K., Iyer, Sriram |
| Zdroj: |
Journal of Interdisciplinary Mathematics; February 2020, Vol. 23 Issue: 2 p347-355, 9p |
| Abstrakt: |
AbstractAs image processing techniques constantly grow in complexity & volume, meeting the required demand for data storage and computational power is a challenge. Using hybrid quantum-mechanical systems to encode and process image information could help overcome such challenges. We propose to implement a hybrid quantum mechanical system with 2 qubits operation for the purpose of classifying between cancerous and non-cancerous pigmented skin-lesions in the HAM10000 dataset. In view of the ever-increasing number of skin cancer deaths, such a system could have potential for the early diagnosis of the disease. Until fully scalable quantum hardware becomes available, the hybrid model could be a viable alternative to overcome the limitations of classical computing systems. |
| Databáze: |
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