Quantum optimization: Potential, challenges, and the path forward

A Abbas, A Ambainis, B Augustino, A Bärtschi… - arxiv preprint arxiv …, 2023 - arxiv.org
Recent advances in quantum computers are demonstrating the ability to solve problems at a
scale beyond brute force classical simulation. As such, a widespread interest in quantum …

[HTML][HTML] Utilizing quantum algorithms to achieve carbon neutrality in urban areas: A systematic review

G Munawar, K Surendro - Alexandria Engineering Journal, 2024 - Elsevier
In the face of climate change, urban areas, as major sources of greenhouse gas (GHG)
emissions, are pivotal in mitigation efforts. Cities worldwide are striving to achieve carbon …

Quantum Computing for Energy Management: A Semi Non-Technical Guide for Practitioners

J Tangpanitanon - arxiv preprint arxiv:2411.11901, 2024 - arxiv.org
The pursuit of energy transition necessitates the coordination of several technologies,
including more efficient and cost-effective distributed energy resources (DERs), smart grids …

Harnessing Inferior Solutions For Superior Outcomes: Obtaining Robust Solutions From Quantum Algorithms

P Halffmann, M Trebing, S Lenk - Proceedings of the Genetic and …, 2024 - dl.acm.org
In the rapidly advancing domain of quantum optimization, the confluence of quantum
algorithms such as Quantum Annealing (QA) and the Quantum Approximate Optimization …

Constrained Grover Adaptive Search for Optimization of the Bidirectional EV Charging Problem

M Federer, S Lenk, D Müssig, M Wappler, J Lässig - 2023 - dl.gi.de
The optimization problem of bidirectional electrical vehicle charging (Vehicle-to-Home)
becomes more and more important with rising energy prices and the required reduction of …

Quantum Computing in Energy Systems

RIS Botez - 2024 - essay.utwente.nl
Quantum computing is a rapidly expanding domain attracting researchers across various
industries. One significant application is in the energy systems domain, which was the main …

[CITAS][C] Solving the Optimization Problem of Bidirectional EV-Charging on a Quantum Computer

D Müssig, M Federer, S Lenk, J Lässig - zur 23. Nachwuchswissenschaftler …, 2023