Energy-Constrained UAV Routing Using Hybrid Quantum-Classical Optimization
Undergraduate Researcher · Autonomous Systems and Quantum Intelligence Laboratory (ASQI Lab), Middle Tennessee State University
Researching energy-constrained UAV routing using hybrid quantum-classical optimization. Developing routing formulations that consider battery limitations, charging locations, obstacles, and operational constraints. Exploring Quadratic Unconstrained Binary Optimization (QUBO) and the Quantum Approximate Optimization Algorithm (QAOA) using Qiskit, with classical optimization techniques for comparison. Investigating hybrid approaches for efficient route planning in resource-constrained autonomous systems.
- Python
- Qiskit
- QUBO
- QAOA
- UAV Routing
- Hybrid Optimization