This study explores the potential of quantum machine learning (QML)'s potential in
predicting expired pharmaceutical compounds' corrosion inhibition capacity. This …

In this investigation, a quantitative structure-property relationship (QSPR) model coupled
with a quantum neural network (QNN) was used to explore the corrosion inhibition efficiency …

This investigation employs a quantum neural network (QNN) synergistically integrated with a
quantitative structure-property relationship (QSPR) model for the comprehensive evaluation …

This study evaluates the efficacy of quantum machine learning (QML) models in predicting
stainless steel corrosion behaviour. Using two datasets, the quantum support vector …

Quantum Cryptography (QC) revolutionizes network communication–harnessing principles
of quantum mechanics to enable the exchange of encrypted messages–for enabling secure …

The increased number of cyber threats and the growing of websites pages lead to targeting
them, that why is very necessary for developing an effective techniques in detecting and …

The emergence of quantum computing poses significant risks to the security of current
cryptographic systems, particularly those reliant on classical algorithms vulnerable to …

The publisher has retracted this article in agreement with the Editor-in-Chief. The article was
submitted to be part of a guest-edited issue. An investigation by the publisher found a …

This study presents a Quantum Machine Learning (QML) architecture for perfectly classifying
the Iris flower dataset. The research addresses improving classification accuracy using …

Ensuring the security of picture data on a network presents considerable difficulties because
of the requirement for conventional embedding systems, which ultimately leads to subpar …