Quantum social network analysis (QSNA) is a recent advancement in the interdisciplinary
field of quantum computing and social network analysis. This manuscript comprehensively …

Objectives To introduce quantum computing technologies as a tool for biomedical research
and highlight future applications within healthcare, focusing on its capabilities, benefits, and …

Academic achievement is a critical measure of intellectual ability, prompting extensive
research into cognitive tasks as potential predictors. Neuroimaging technologies, such as …

The development of advanced quantum-classical algorithms is among the most prominent
strategies in quantum computing. Numerous hybrid solvers have been introduced recently …

The formalism of multilayer networks (MLN) makes possible to model and understand the
multiple relationships between entities in a system. Indeed, this representation has found its …

The dynamics and underlying structure of complex social networks (SNs) can be discovered
using community detection. Considering how quantum computing might improve community …

Community detection, also known as graph partitioning, is a well-known NP-hard
combinatorial optimization problem with applications in diverse fields such as complex …

Quantum adiabatic optimization has long been expected to outperform classical methods in
solving NP-type problems. While this has been proven in certain experiments, its main …

Quantum annealing is a meta-heuristic approach tailored to solve combinatorial optimization
problems with quantum annealers. In this tutorial, we provide a fundamental and …

Community structure detection techniques play a prominent role in analysing complex
networks, emerging from diverse domains. A major reason why this area is flourishing is that …