Abstract: This study proposes a quantum-kernel framework based on a Quantum Support Vector Machine (QSVM) with a novel XYZ feature map integrating RY and RZ rotations for encoding, full all-to-all CX ...

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.

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 ...

IonQ said Wednesday the planned acquisition is intended to expand its quantum technology portfolio. By integrating Vector Atomic’s advanced PNT systems, including rackmount optical atomic clocks, ...

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 ...

A new study suggests that quantum computing could play a decisive role in the escalating arms race between cybersecurity defenders and increasingly sophisticated cyber threats. Researchers from the ...

Researchers have found a way to make the chip design and manufacturing process much easier — by tapping into a hybrid blend of artificial intelligence and quantum computing. When you purchase through ...