Multi-VQC: A Novel QML Approach for Enhancing Healthcare Classification

• URL: http://arxiv.org/abs/2505.20797v2
• Date: Mon, 04 Aug 2025 07:18:49 GMT
• Title: Multi-VQC: A Novel QML Approach for Enhancing Healthcare Classification
• Authors: Antonio Tudisco, Deborah Volpe, Giovanna Turvani,
• Abstract summary: In recent years, Machine Learning has revolutionized diagnostic practices by creating classification models capable of identifying diseases.<n>The interest in Quantum models has arisen, driven by their ability to express complex patterns by mapping data in a higher-dimensional computational space.
• Score: 0.25602836891933073
• License: http://creativecommons.org/licenses/by-nc-nd/4.0/
• Abstract: Accurate and reliable diagnosis of diseases is crucial in enabling timely medical treatment and enhancing patient survival rates. In recent years, Machine Learning has revolutionized diagnostic practices by creating classification models capable of identifying diseases. However, these classification problems often suffer from significant class imbalances, which can inhibit the effectiveness of traditional models. Therefore, the interest in Quantum models has arisen, driven by the captivating promise of overcoming the limitations of the classical counterpart thanks to their ability to express complex patterns by mapping data in a higher-dimensional computational space.

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