Physics-Informed AI and Quantum Technologies for Certifiable Real-Time Control of Compact Fusion Generators
A layered digital-twin control architecture holding three technology-readiness tiers apart. A control-barrier safety clamp gives a provable zero-escape guarantee on the reduced-order operating envelope; quantum sensing is near-term diagnostics; quantum computation is an offline calibration tier with no resource crossover this decade. Every result is on a physics-based twin, on public data, or in simulation. New version (2.0).
Authors
- Priyanca Ford (ORCID: https://orcid.org/0000-0003-0395-1752)
Institutions
- Fusion for Energy (ES)
Publication Details
- Journal
- Zenodo (CERN European Organization for Nuclear Research)
- Published
- 2026-08-27
- DOI
- https://doi.org/10.5281/zenodo.22132484
- Primary Topic
- Model Reduction and Neural Networks
- Type
- article
- Field-Weighted Citation Impact
- 0.00