Hybrid Quantum-Classical Optimization for Energy Distribution using TSP Model

Abstract: Managing energy distribution efficiently has become an important challenge in modern smart grid systems. This paper proposes a hybrid quantum-classical optimization approach based on the Traveling Salesman Problem (TSP) model. The system combines classical optimization techniques with the Quantum Approximate Optimization Algorithm (QAOA) to determine efficient energy distribution paths while reducing transmission cost and energy loss. Qiskit is used for simulation and implementation. The results indicate improved routing efficiency and demonstrate the potential of quantum computing in handling complex optimization problems in smart grid applications.

Keywords: Hybrid Quantum-Classical Optimization, Traveling Salesman Problem (TSP), Quantum Approximate Optimization Algorithm (QAOA), Smart Grid, Energy Distribution, Qiskit, Quantum Computing.