Optimization is one of the research areas where quantum computing could bring significant
benefits. In this scenario, a hybrid quantum–classical variational algorithm, the Quantum …

The main aim of this paper is to present a new multi-attribute decision-making (MADM)
approach for solving the problems under the uncertain and complex environment. The key …

Current technology still does not allow the use of quantum computers for broader and
individual uses; however, it is possible to simulate some of its potentialities through quantum …

Cooling water towers are commonly used in industrial and commercial applications.
Industrial sites frequently have harsh environments, with certain characteristics such as poor …

This paper proposes a quantum co mputational intelligence (QCI) model integrated with
generative artificial intelligence (GAI) for Taiwanese/English language co-learning …

By constructing a quantum circuit with adjustable parameters, variational quantum circuits
are capable of embedding input data into Hilbert space and facilitating the execution of …

Quantum utility is severely limited in superconducting quantum hardware until now by the
modest number of qubits and the relatively high level of control and readout errors, due to …

The theory of complex fuzzy sets has made great breakthroughs in recent times. Complex
fuzzy theory (CFT) allows a fuzzy set to include more information with the help of its two …

This paper introduces a Quantum Computational Intelligence (QCI) agent equipped with a
content attention ontology model, specifically designed to enhance human-machine …

Recently, quantum computing has been proven as an ideal theory for the design of fuzzy
inference engines, thanks to its capability to efficiently solve the rule explosion problem. In …