James B. Holliday
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Researcher
Also affiliated: MACOM (United States) (2026)
Unknown Researcher
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Biography and Research Information
OverviewAI-generated summary
James B. Holliday's research focuses on the application of quantum computing and optimization techniques to solve complex logistical problems. His recent publications explore hybrid quantum tabu search algorithms for the vehicle routing problem, a critical challenge in logistics and transportation. Holliday has also investigated quantum optimization frameworks, such as QUADRO, specifically for drone delivery applications.
His work involves developing and refining advanced algorithms that leverage quantum annealing and hybrid approaches to address time-sensitive routing scenarios. Holliday collaborates with researchers at the University of Arkansas at Fayetteville, including Ky Luu, Hugh Churchill, Braeden Morgan, and Hoang-Quan Nguyen, with whom he has co-authored multiple publications. His research contributes to the advancement of computational methods for optimizing complex systems.
Metrics
- h-index: 2
- Publications: 8
- Citations: 24
Selected Publications
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An advanced hybrid quantum tabu search approach to vehicle routing problems (2026)
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QUADRO: A Hybrid Quantum Optimization Framework for Drone Delivery (2025)
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Hybrid Quantum Tabu Search for Solving the Vehicle Routing Problem (2024)
Collaboration Network
Top Collaborators
- Hybrid Quantum Tabu Search for Solving the Vehicle Routing Problem
- An advanced hybrid quantum tabu search approach to vehicle routing problems
- Hybrid Quantum Tabu Search for Solving the Vehicle Routing Problem
- Hybrid Quantum Tabu Search for Solving the Vehicle Routing Problem
- QUADRO: A Hybrid Quantum Optimization Framework for Drone Delivery
- QUADRO: A Hybrid Quantum Optimization Framework for Drone Delivery
- QUADRO: A Hybrid Quantum Optimization Framework for Drone Delivery
- QUADRO: A Hybrid Quantum Optimization Framework for Drone Delivery
- An advanced hybrid quantum tabu search approach to vehicle routing problems
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