World's Best Scientists 2026 revealed!

D-Index & Metrics

Engineering and Technology

D-Index
51
Citations
10243
World Ranking
3844
National Ranking
67

Research.com Recognitions

  • 2017 - Fellow of the American Association for the Advancement of Science (AAAS)

Overview

Tad Hogg is affiliated with Xerox (France) in France and has contributed extensively to the fields of computer science and engineering, with a particular focus on quantum computing and related technologies.

Their research spans several core areas including quantum computing algorithms and architecture, quantum information and cryptography, cryptography and data security, blockchain technology applications and security, micro and nano robotics, parallel computing and optimization techniques, and privacy-preserving technologies in data.

Hogg's publication record includes work published in a variety of venues, reflecting engagement with the broader quantum computing and technology community. Frequent publication venues include:

  • arXiv (Cornell University)
  • Quantum Information Processing
  • Quantum Science and Technology
  • Physical Review Research
  • Proceedings of the International AAAI Conference on Web and Social Media

Some recent papers authored or co-authored by Tad Hogg cover topics related to quantum optimization algorithms and quantum alternating operator ansätze. Notable recent publications include:

  • "Classical symmetries and the Quantum Approximate Optimization Algorithm," 2021, Quantum Information Processing
  • "Analytical framework for quantum alternating operator ansätze," 2022, Quantum Science and Technology
  • "Quantum Alternating Operator Ansatz (QAOA) Phase Diagrams and Applications for Quantum Chemistry," 2021, arXiv (Cornell University)
  • "Parameter-setting heuristic for the quantum alternating operator ansatz," 2024, Physical Review Research
  • "Quantum Alternating Operator Ansatz (QAOA) beyond low depth with gradually changing unitaries," 2023, arXiv (Cornell University)

Frequent co-authors working with Tad Hogg include:

  • Stuart Hadfield
  • Norm M. Tubman
  • Eleanor Rieffel
  • Vladimir Kremenetski
  • James Sud

The scientist's work also extends to the subfields of artificial intelligence, electrical and electronic engineering, biomedical engineering, information systems, and condensed matter physics.

In recognition of contributions to the scientific community, Tad Hogg was named a Fellow of the American Association for the Advancement of Science (AAAS) in 2017.

Best Publications

  • Spawn: a distributed computational economy

    C.A. Waldspurger;T. Hogg;B.A. Huberman;J.O. Kephart

  • An Economics Approach to Hard Computational Problems

    Bernardo A. Huberman;Rajan M. Lukose;Tad Hogg

  • Using a model of social dynamics to predict popularity of news

    Kristina Lerman;Tad Hogg

  • The DARPA Twitter Bot Challenge

    V.S. Subrahmanian;Amos Azaria;Skylar Durst;Vadim Kagan

  • Phase transitions and the search problem

    Tad Hogg;Bernardo A. Huberman;Colin P. Williams

  • Nanorobot architecture for medical target identification

    Adriano Cavalcanti;Bijan Shirinzadeh;Robert A Freitas;Tad Hogg

  • Enhancing privacy and trust in electronic communities

    Bernardo A. Huberman;Matt Franklin;Tad Hogg

  • Complexity and adaptation

    B A Huberman;T Hogg

  • Cooperative Solution of Constraint Satisfaction Problems

    Scott H. Clearwater;Bernardo A. Huberman;Tad Hogg

  • Dynamics of computational ecosystems.

    Kephart Jo;Hogg T;Huberman Ba

  • Emergent structures in modular self-reconfigurable robots

    H. Bojinov;A. Casal;T. Hogg

  • Phase transitions in artificial intelligence systems

    Bernardo A. Huberman;Tad Hogg

  • Recurrence Phenomena in Quantum Dynamics

    T. Hogg;B. A. Huberman

  • The hardest constraint problems: a double phase transition

    Tad Hogg;Colin P. Williams

  • Exploiting the deep structure of constraint problems

    Colin P. Williams;Tad Hogg

  • Social dynamics of Digg

    Tad Hogg;Kristina Lerman

  • Nanoelectronic architectures

    G. Snider;P. Kuekes;T. Hogg;R. Stanley Williams

  • Communities of practice: performance and evolution

    Bernardo A. Huberman;Tad Hogg

  • Cooperative Problem Solving

    Scott H. Clearwater;Tad Hogg;Bernardo A. Huberman

  • Leveraging position bias to improve peer recommendation.

    Kristina Lerman;Tad Hogg

  • Enhancing reputation mechanisms via online social networks

    Tad Hogg;Lada Adamic

  • Observation of phase transitions in spreading activation networks.

    Jeff Shrager;Tad Hogg;Bernardo A. Huberman

  • Distributed Computation as an Economic System

    Bernardo A. Huberman;Tad Hogg

  • Solving the really hard problems with cooperative search

    Tad Hogg;Colin P. Williams

  • Refining the phase transition in combinatorial search

    Tad Hogg

  • Self-reconfigurable robot

    Tad H. Hogg;Arancha Casal;Jeremy Kubica

  • Multiple Relationship Types in Online Communities and Social Networks.

    Tad Hogg;Dennis M. Wilkinson;Gábor Szabó;Michael J. Brzozowski

  • Quantum dynamics and nonintegrability

    T. Hogg;B. A. Huberman

  • Adaptation and Self-Repair in Parallel Computing Structures

    B. A. Huberman;T. Hogg

  • Modeling and mathematical analysis of swarms of microscopic robots

    A. Galstyan;T. Hogg;K. Lerman

Frequent Co-Authors

Kristina Lerman
Kristina Lerman University of Southern California
Warren B. Jackson
Warren B. Jackson Palo Alto Research Center
Jeffrey O. Kephart
Jeffrey O. Kephart IBM (United States)
Aram Galstyan
Aram Galstyan University of Southern California
Eleanor Rieffel
Eleanor Rieffel Ames Research Center
Eytan Adar
Eytan Adar University of Michigan–Ann Arbor
Matthew K. Franklin
Matthew K. Franklin University of California, Davis
Yi Shang
Yi Shang University of Missouri
Mark Yim
Mark Yim University of Pennsylvania

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