The energy sector plays a vital role in achieving a sustainable net-zero future, and the
adoption of advanced technologies such as AI, blockchain, quantum computing, digital twin …

Power flow (PF) analysis is a foundational computational method to study the flow of power
in an electrical network. This analysis involves solving a set of non-linear and non-convex …

Test case optimization (TCO) reduces the software testing cost while preserving its
effectiveness. However, to solve TCO problems for large-scale and complex software …

This paper explores the potential application of quantum and hybrid quantum–classical
neural networks in power flow analysis. Experiments are conducted using two datasets …

Approaches to compute or estimate the output probability distributions from the quantum
approximate optimization algorithm (QAOA) are needed to assess the likelihood it will obtain …

One impediment to the useful application of variational quantum algorithms in quantum
chemistry is slow convergence with large numbers of classical optimization parameters. In …

This paper presents a refined quantum Harrow Hassidim Lloyd (HHL) algorithm for
microgrid control. The first novelty of the developed method is that a mapping shift function …

The aim of this paper is to report on the state of the art of the literature on the most recent
challenges in the energy domain that can be addressed through the use of quantum …

Over the last few decades, technology has been improving dramatically and consequently
transformed the standard of living and socio-economic conditions. The entire process will …

We introduce QuantumGEP, a scientific computer program that uses gene expression
programming (GEP) to find a quantum circuit that either (1) maps a given set of input states …