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.

Quantum computing technology is complex, getting off the ground and maturing. There is promise of things to come. potentially changing the computing paradigm.

Abstract: This article focuses on an aspect of the optimization of support vector machines (SVMs) by genetic algorithms (GAs), including quantum versions, applied to a sensing system for hand gesture ...

IonQ (IONQ) achieved 99.99% fidelity with its trapped-ion technology and saw third-quarter revenue jump 222% year-over-year. Quantum computing promises to revolutionize fields like drug discovery, ...

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.

Quantum computing innovations have garnered significant attention for their potential to revolutionize industries, with the energy sector being one of the most promising areas for application. As ...

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 ...

Upconversion (UC) materials, such as Yb/Er-doped fluorides and oxides, are widely applied in bioimaging, lighting, and quantum photonics. However, interpreting UC spectra to extract material ...

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 ...