LabCompass

Sheng Tan

Physics and Astronomy · Purdue University West Lafayette

OpenAlex ORCID
Mid career · publishing since 2002Rising activity
Quantum many-body systemsQuantum Information and CryptographyPhysics of Superconductivity and MagnetismAlgebraic structures and combinatorial modelsQuantum and electron transport phenomena

Publications

16

Citations

44

Est. group size

—

Recurring co-author estimate

Active years

24

Publishing since 2002

Research summary
AI-generated

Sheng Tan works on the mathematical physics of topological quantum systems, particularly using algebraic tools called Hopf algebras and tube algebras to describe gapped phases of matter, lattice gauge theories, and boundaries/domain walls between these phases. This research sits at the intersection of quantum information theory, condensed matter physics, and abstract algebra, aiming to formally classify and characterize exotic quantum states of matter. One publication on deep learning and blockchain for cybersecurity appears unrelated to this main research thread.

Topological quantum phases and lattice gauge theoriesHopf algebra and tube algebra methods in physicsQuantum many-body systems and quantum informationBoundary and domain wall theories in topological modelsAlgebraic and mathematical structures in physics

Publication activity began in 2022 after a gap with no recorded output from 2017-2021, and has remained steady at 2-3 papers per year since then.

Generated by claude-sonnet-5 from public bibliographic data · Jul 20, 2026

Publication cadence
Publications per year over the last 10 years — averaging 2.2/year recently
17181920212022: 3 publications3222023: 3 publications3232024: 3 publications3242025: 2 publications2526
Recent publications
Publishes in
  • arXiv (Cornell University)×4
  • Journal of High Energy Physics×3
  • Communications in Mathematical Physics×1
  • Journal of Physics A Mathematical and Theoretical×1
  • Quantum Information Processing×1
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By research-topic overlap

This profile was generated automatically from public scholarly data (OpenAlex). Group size and activity levels are estimates derived from co-authorship patterns.

Last updated Jul 20, 2026.

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