Contribution to a conference proceedings

FZJ-2026-00141

http://join2-wiki.gsi.de/foswiki/pub/Main/Artwork/join2_logo100x88.png Quantum Computing Methods for Dynamic State Estimation in Power Systems

Stoyanova, I. (Corresponding author) ; Şensebat, O.FZJ* ; Ji, Y.FZJ* ; Ganeshamurthy, P. A. ; Kajganic, S. ; Willsch, D.FZJ* ; Monti, A.

2025
IEEE

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Please use a persistent id in citations: doi:10.1109/ISGTEurope64741.2025.11305506

Abstract: This work investigates the applicability, limitations and advantages of six quantum computing methods for a dynamic state estimation scenario. The paper analyzes the computational challenges of a Kalman filter scenario to evaluate the feasibility of the quantum computing methods for this use case. The methods are introduced with their mathematical formulations and compared based on their level of maturity, their compatibility with existing hardware, the expected speedup and the caveats relevant to their applicability for the dynamic state estimation scenario. The central findings are that two of the methods are not applicable and two methods will not be further considered due to issues with the scalability. However, two methods seem promising for the application and will be used for more advanced studies on the matter.

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Contributing Institute(s):

1. Jülich Supercomputing Center (JSC)
2. Quantum Computing Analytics (PGI-12)

Research Program(s):

1. 5111 - Domain-Specific Simulation & Data Life Cycle Labs (SDLs) and Research Groups (POF4-511) (POF4-511)
2. QuGrids - Quantum-based Energy Grids (QuGrids20231101) (QuGrids20231101)

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