Computational complexities in modern power systems are reportedly increasing daily, and it
is anticipated that traditional computers might be inadequate to provide the computation …

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 …

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

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 …

Electric power systems provide the backbone of modern industrial societies. Enabling
scalable grid analytics is the keystone to successfully operating large transmission and …

Transitioning from fossil fuels to renewable sources and developing sustainable energy
materials for energy production and storage are critical factors in achieving climate …

Quantum computing (QC) is an emerging paradigm with the potential to offer significant
computational advantage over conventional classical computing by exploiting quantum …

Quantum computing (QC) has the potential to be the next abstruse technology, with a wide
range of possible applications and ramifications for organizations and markets. QC provides …

Practical quantum computing applications to power grids are nonexistent at the moment.
This paper investigates how a fundamental grid problem, namely DC power flow, can be …

This paper introduces quantum computing as a necessary and viable tool in addressing the
needs of a modernized power grid. The application of quantum computing in enhancing …