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 ...

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.

BIP 360, a proposal to make Bitcoin more resistant to future quantum computing threats, has been updated and merged into the official BIP GitHub repository. BIP 360, a proposal aimed at preparing ...

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.

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 ...

Quantum thermal machines are devices that leverage quantum mechanical effects to convert energy into useful work or cooling, similarly to traditional heat engines or refrigerators. Thermodynamics ...

In some ways, Java was the key language for machine learning and AI before Python stole its crown. Important pieces of the data science ecosystem, like Apache Spark, started out in the Java universe.

In the first two articles of this series, we introduced the foundations of Quantum Machine Learning (QML) and explored how quantum properties such as superposition and entanglement can enhance machine ...

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 ...