James B. Holliday Data-verified

Affiliation confirmed via AI analysis of OpenAlex, ORCID, and web sources.

Researcher

University of Arkansas

Last publication 2026 Last refreshed 2026-05-16

unknown

2 h-index 8 pubs 23 cited

Research Areas

Links

Lab Website

OverviewAI-generated summary

James B. Holliday's research focuses on the application of quantum computing techniques to solve complex optimization problems, particularly within the domain of logistics and vehicle routing. His work investigates hybrid approaches that combine quantum algorithms with classical methods, such as tabu search, to enhance efficiency and find optimal solutions.

His recent publications explore the use of hybrid quantum tabu search and quantum annealing frameworks, like QUADRO, for problems such as the vehicle routing problem with time windows and drone delivery optimization. Holliday collaborates with researchers at the University of Arkansas at Fayetteville, including Khoa Luu, Hugh Churchill, Braeden Morgan, and Ky Luu, on these projects. His scholarship metrics include an h-index of 2 and 8 total publications with 23 citations.

Metrics

h-index: 2
Publications: 8
Citations: 23

Selected Publications

An advanced hybrid quantum tabu search approach to vehicle routing problems (2026)

DOI OpenAlex
QUADRO: A Hybrid Quantum Optimization Framework for Drone Delivery (2025)

1 citation DOI OpenAlex
Hybrid Quantum Tabu Search for Solving the Vehicle Routing Problem (2024)

9 citations DOI OpenAlex