This paper proposes the use of annealing-based quantum computing for solving
combinatorial optimal power flow problems. Quantum annealers provide a physical …

This paper presents an application of a novel quadratic unconstrained binary optimization
(QUBO) formulation to the minimum loss problem in distribution networks. The proposed …

Optimization of electricity surplus is a crucial element for transmission power networks since
it leads to reducing costs as well as increasing efficiency across the network as a whole. In …

Quantum annealing algorithms belong to the class of metaheuristic tools, applicable for
solving binary optimization problems. Hardware implementations of quantum annealing …

The purpose of this paper is to explore the applications of quantum computing to energy
systems optimization problems and discuss some of the challenges faced by quantum …

Quantum mechanics (QM) can be understood as a set of rules that forms the basis for
developing all quantum theories. One of these theories is quantum computation (QC), ie …

Computing plays a significant role in power system analytics. As mathematical challenges
increase and data become the epicenter of modern decision making, substantial progress …

Leveraging the current generation of quantum devices to solve optimization problems of
practical interest necessitates the development of hybrid quantum-classical (HQC) solution …

As a large number of renewable energy resources are connected to power systems, the
operation, planning, and optimization of power systems have been becoming more and …

Quantum computing has the potential to solve many computational problems exponentially
faster than classical computers. The high shares of renewables and the wide deployment of …