Research Paper#Quantum Computing, Traveling Salesman Problem, Ising Model, VQE🔬 ResearchAnalyzed: Jan 3, 2026 15:39
Quantum Computing for Traveling Salesman Problem
Analysis
This paper explores the application of quantum computing, specifically using the Ising model and Variational Quantum Eigensolver (VQE), to tackle the Traveling Salesman Problem (TSP). It highlights the challenges of translating the TSP into an Ising model and discusses the use of VQE as a SAT-solver, qubit efficiency, and the potential of Discrete Quantum Exhaustive Search to improve VQE. The work is relevant to the Noisy Intermediate Scale Quantum (NISQ) era and suggests broader applicability to other NP-complete and even QMA problems.
Key Takeaways
- •Applies quantum computing to the Traveling Salesman Problem (TSP).
- •Focuses on the Ising model and Variational Quantum Eigensolver (VQE).
- •Discusses challenges in translating TSP to the Ising model.
- •Highlights the use of VQE as a SAT-solver.
- •Emphasizes qubit efficiency in the NISQ era.
- •Explores the potential of Discrete Quantum Exhaustive Search to enhance VQE.
- •Suggests applicability to other NP-complete and QMA problems.
Reference
“The paper discusses the use of VQE as a novel SAT-solver and the importance of qubit efficiency in the Noisy Intermediate Scale Quantum-era.”