Portfolio optimization has always been a challenging proposition in finance and
management. Portfolio optimization facilitates in selection of portfolios in a volatile market …

The evolution of power systems into Cyber Physical Power Systems (CPPS), characterized
by the integration of information and communication technologies with traditional electrical …

Nature is a neverending source of inspiration for technology. Quantum physics suggests
applications toward quantum computing. Swarms' self-organization leads to robotic swarm …

Over the last few decades, quantum machine learning has emerged as a groundbreaking
discipline. Harnessing the peculiarities of quantum computation for machine learning tasks …

Humans take immense pride in their ability to be unpredictably intelligent and despite huge
advances in science over the past century; our understanding about human brain is still far …

In the last two decades, the number of strategies for planning the maintenance of power
systems have increased considerably. As societal dependence on power system …

New high-performance computing architectures are becoming operative, in addition to
exascale computers. Quantum computers (QC) solve optimization problems with …

This paper introduces a novel variant of the quantum particle swarm optimization algorithm
based on the quantum concept of particle-like solitons as the most common solutions of the …

Computational resources of quantum computing can enhance robotic motion, decision
making, and path planning. While the quantum paradigm is being applied to individual …

The emerging field of quantum computing has shown it might change how we process
information by using the unique principles of quantum mechanics. As researchers continue …