Hybrid quantum-classical neural networks for real-time fault detection in power systems
Hina Hashmi, Aman Kumar, Shanu Rakesh Kuttan, Jhankar Moolchandani, Priya Goel, Aseel Smerat, Yaikob Abriham Massebo, Arshad Hashmi, Palaniyappan Sathyaprakash, Palaniyappan Sathyaprakash, Palaniyappan Sathyaprakash · 2026
Read Hybrid quantum-classical neural networks for real-time fault detection in power systems by Hina Hashmi, Aman Kumar, Shanu Rakesh Kuttan, Jhankar Moolchandani, Priya Goel, Aseel Smerat, Yaikob Abriham Massebo, Arshad Hashmi, Palaniyappan Sathyaprakash, Palaniyappan Sathyaprakash, Palaniyappan Sathyaprakash (2026) in the Tower of Babel, a free online library of public-domain works preserved in clean, searchable text. No sign-up. The full text is served as a plain-text file at a predictable URL, where text is present: https://antarctic-labs.com/tower-of-babel/PMC13278437.txt.
Description
Hina Hashmi leads a 2026 study of a hybrid quantum-classical neural network for detecting faults in power grids in real time. Modern grids with renewable sources produce variable, noisy signals that fixed thresholds handle poorly. The model pairs a classical feature extractor with a quantum circuit to classify faults such as line-to-ground and three-phase faults.
Tests used simulated data from two standard grid models plus about eight hundred real fault events from grid sensors. Accuracy reached about ninety-six percent on simulated data and about ninety-five percent on real events, beating standard deep learning models, with detection under three milliseconds. Removing the quantum layer hurt performance. Hardware limits and quantum noise remain open issues.
Catalog record
| CREATOR | Hina Hashmi, Aman Kumar, Shanu Rakesh Kuttan, Jhankar Moolchandani, Priya Goel, Aseel Smerat, Yaikob Abriham Massebo, Arshad Hashmi, Palaniyappan Sathyaprakash, Palaniyappan Sathyaprakash, Palaniyappan Sathyaprakash |
|---|---|
| YEAR | 2026 |
| COLLECTION | PAPERS |
| FORMAT | TXT |
| FILE SIZE | 76285 |
| LICENSE | https://creativecommons.org/licenses/by/4.0 |
| RIGHTS | CC BY |
| SOURCE | Europe PMC |