Humble, Travis S.

Quantum computing based hybrid solution strategies for large-scale discrete-continuous optimization problems

Ajagekar, A., Humble, T., & You, F. (2020) · Computers & Chemical Engineering

Quantum Computing Algorithms and ArchitectureAdvanced Optimization Algorithms Research

Cited by 191

Application of Quantum Annealing to Nurse Scheduling Problem

Ikeda, K., Nakamura, Y., & Humble, T. S. (2019) · Scientific Reports

Quantum Computing Algorithms and ArchitectureScheduling and Timetabling Solutions

Cited by 139

Adiabatic quantum programming: minor embedding with hard faults

Klymko, C., Sullivan, B. D., & Humble, T. S. (2014) · Quantum Information Processing

Quantum Computing Algorithms and ArchitectureQuantum many-body systems

Cited by 99

A language and hardware independent approach to quantum–classical computing

McCaskey, A. J., Dumitrescu, E. F., Liakh, D., Chen, M., Feng, W., & Humble, T. S. (2018) · SoftwareX

Quantum Computing Algorithms and ArchitectureParallel Computing and Optimization Techniques

Cited by 46

Lower bounds on circuit depth of the quantum approximate optimization algorithm

Herrman, R., Ostrowski, J., Humble, T. S., & Siopsis, G. (2021) · Quantum Information Processing

Quantum Computing Algorithms and ArchitectureComplexity and Algorithms in Graphs

Cited by 35

Certified randomness amplification by dynamically probing remote random quantum states

Liu, M., Niroula, P., DeCross, M., Foreman, C., Kon, W. Y., Primaatmaja, I. W., Allman, M. S., Campora, J. P., Isanaka, A., Singhal, K., et al. (2025) · arXiv

Quantum Information and CryptographyQuantum Computing Algorithms and Architecture

Cited by 0