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 …

Computational models are an essential tool for the design, characterization, and discovery
of novel materials. Computationally hard tasks in materials science stretch the limits of …

Optimized power system planning and operation are core to delivering a low-cost and high-
reliability transition path to net-zero carbon emissions. The major technological changes …

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 …

Our study evaluates the limitations and potentials of Quantum Random Access Memory
(QRAM) within the principles of quantum physics and relativity. QRAM is crucial for …

Quantum computers hold promise for solving problems intractable for classical computers,
especially those with high time and/or space complexity. The reduction of the power flow …

The complications in computation in present‐day power are growing systems by the day,
and if this trend continues, conventional computers will fail to fulfil computational ability …

Computational models are an essential tool for the design, characterization, and discovery
of novel materials. Hard computational tasks in materials science stretch the limits of existing …

The present thesis develops a novel method to perform an N-1 contingency assessment
using quantum computation. The contingency analysis is based on the direct-current power …