Quantum computers work by applying quantum operations, such as quantum gates, to delicate quantum states. Ideally, quantum ...

The idea that quantum computing could transform medical artificial intelligence (AI) has gained momentum in recent years, driven by advances in cloud-accessible quantum platforms and hybrid computing ...

TNO Quantum provides generic software components aimed at facilitating the development of quantum applications. This package implements a scikit-learn compatible, (quantum) support vector machine.

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The kidney is one of the body’s most vital organs, responsible for filtering waste, balancing electrolytes and maintaining overall health. Any impairment to its function can lead to serious and often ...

The authors investigate a quantum support vector algorithm that uses qudits to identify the most accurate way of solving a prototype machine learning task: the binary classification of point clusters.

In the first article of this series, we introduced the idea of Quantum Machine Learning (QML), explained how quantum computing differs from classical computing and why researchers believe the ...

Quantum Machine Learning (QML) is one of the most promising and rapidly evolving fields at the intersection of artificial intelligence and quantum computing. Artificial intelligence has already ...

This project provides a rigorous and practical benchmark of a Quantum Support Vector Classifier (QSVC) for breast cancer diagnosis. Using the well-known Wisconsin Breast Cancer dataset from ...