Abstract: Quantum algorithms have demonstrated extraordinary potential in numerous fields. The demand for fraud detection in credit cards is growing increasingly, which calls for more efficient ...

Quantum machine learning is being explored as the next frontier in cybersecurity, but new research shows it remains far from replacing established artificial intelligence systems in detecting phishing ...

ABSTRACT: Grover’s algorithm achieves O( N ) query complexity for unstructured search, a result proven optimal by Zalka for algorithms using a fixed oracle operator. This paper presents the ...

The Quantum Encoding Atlas is the definitive open-source resource for understanding, comparing, and selecting quantum data encodings for machine learning applications.

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.

A team of Harvard physicists built the first-ever quantum computing machine that can operate continuously without restarting, achieving a major breakthrough in a field that could revolutionize ...

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, ...