Hogg, Tad

Quantum optimization

Hogg, T., & Portnov, D. (2000) · Information Sciences

Quantum Computing Algorithms and ArchitectureMetaheuristic Optimization Algorithms Research

Cited by 111

Leveraging position bias to improve peer recommendation

Lerman, K., & Hogg, T. (2014) · PLoS ONE

Recommender Systems and TechniquesMobile Crowdsensing and Crowdsourcing

Cited by 96

Human Brain/Cloud Interface

Martins, N. R. B., Angelica, A., Chakravarthy, K., Svidinenko, Y., Boehm, F. J., Opris, I., Lebedev, M. A., Swan, M., Garan, S. A., Rosenfeld, J. V., et al. (2019) · Frontiers in Neuroscience

Neuroscience and Neural EngineeringMolecular Communication and Nanonetworks

Cited by 91

Humanity's Last Exam

Phan, L., Gatti, A., Han, Z., Li, N., Hu, J., Zhang, H., Zhang, C. B. C., Shaaban, M., Ling, J., Shi, S., et al. (2025) · arXiv

Topic ModelingMultimodal Machine Learning Applications

Cited by 65

Characterizing local noise in QAOA circuits

Marshall, J., Wudarski, F., Hadfield, S., & Hogg, T. (2020) · IOP SciNotes

Quantum Computing Algorithms and ArchitectureQuantum many-body systems

Cited by 61

Quantum Alternating Operator Ansatz (QAOA) Phase Diagrams and Applications for Quantum Chemistry

Kremenetski, V., Hogg, T., Hadfield, S., Cotton, S. J., & Tubman, N. M. (2021) · arXiv

Quantum Computing Algorithms and ArchitectureQuantum many-body systems

Cited by 14