Quantum Physics-Informed Neural Networks (QPINN) for portfolio optimization PDEs — uses parameterized quantum circuits with tensor rank decomposition to solve financial PDEs with 80x fewer parameters and higher accuracy than classical PINNs. Use when: solving financial PDEs for portfolio optimization, Merton problem, quantum-inspired PINNs, tensor rank decomposition for quantum circuits, parameter
no risky patterns detected
Type: Agent skill (SKILL.md) · Category: Finance & Payments · Source: https://github.com/hiyenwong/ai_collection/tree/HEAD/collection/skills/ai-ml/qpi
| Capabilities (fewer powerful permissions = higher) | 50/50 |
| Maintenance | 21/35 |
| Documentation | 15/15 |
Always review files before installing. How scores work. Request a correction