The integration of distributed energy resources into power networks is accelerating. The resulting variability narrows operating margins, so a disturbance can cascade into a wide-area blackout. Controlled islanding arrests that propagation by splitting a compromised grid into self-sustaining islands that keep coherent...
Yu-Qi Jiang, Zhi-Ding Liang, Qiang Guan et al.· 0 citations
The realization of practical quantum advantage requires executing large-scale circuits that far exceed the qubit capacity of any single quantum processor. To address this, two primary scaling strategies have emerged: circuit cutting, which utilizes classical resources to decompose circuits into smaller fragments, and m...
Ze-Fan Du, Wen-Rui Zhang, Jake Gesseck et al.· IEEE International Conferenc...· 0 citations
A qubit-efficient hybrid quantum framework combining a physics-informed compact encoding with Lagrangian constraint handling and classical feasibility refinement is presented, offering a transferable approach for scaling constrained quantum optimization toward larger real-world applications on near-term hardware.
The proposed framework provides a feasible and scalable pathway for quantum optimization in large-scale power systems and substantially reduces quantum-resource demand and circuit complexity relative to monolithic QAOA, allowing large islanding problems to be addressed within current hardware limits.
Yu-Qi Jiang, Zhi-Ding Liang, Qiang Guan et al.· 0 citations
We use cookies to run the site and, with your consent, for analytics and to show ads.
See our Cookie Policy.
