Potential of Quantum Computing Applications for Smart Grid Digital Twins and Future Directions
Arianne Lemo, Ahmad Mohammad Saber, Deepa Kundur +1 more
The convergence of digital twin technology and quantum computing is opening new horizons for the modeling, control, and optimization of smart grid systems. This paper explores the current research landscape at the intersection of these fields, with a focus on how quantum algorithms, such as the Quantum Approximate Optimization Algorithm (QAOA), can enhance the performance of digital twins in smart energy systems. We conduct a thematic literature review and identify key research trends, technical challenges, and gaps in real-world adoption. A conceptual framework is proposed to integrate quantum modules into classical digital twin architectures. Through a concrete use case, we illustrate the potential benefits of this hybrid approach for smart grid operation. The study concludes by highlighting future research directions toward building scalable, secure, and interoperable quantum-enhanced digital twins for cyber-physical energy systems.
IEEE PES Conference on Innovative Smart Grid Technologies - Middle East (ISGT Middle East)•Nov 23, 2025•1 citation