LabCompass

Philip Richerme

Computer Science · Indiana University

OpenAlex ORCID
Quantum Information and CryptographyQuantum Computing Algorithms and ArchitectureCold Atom Physics and Bose-Einstein CondensatesQuantum and electron transport phenomenaQuantum many-body systems

Publications

86

Citations

4,071

Est. group size

—

Recurring co-author estimate

Active years

21

Publishing since 2006

Research summary
AI-generated

Philip Richerme studies quantum computing and quantum simulation using trapped ions, where individual charged atoms held in place by electromagnetic fields serve as the building blocks of a quantum computer. His work develops methods to control and connect these ions, and uses them to simulate physical systems such as magnetic spin models and chemical dynamics. Recent projects also explore combining quantum and classical machine learning approaches.

Trapped-ion quantum computingQuantum simulation of many-body physicsQuantum control and circuit synthesisQuantum simulation of chemistryQuantum machine learning

After a peak in 2021, publication activity has remained steady at roughly five papers per year over the last five years.

Generated by claude-opus-4-8 from public bibliographic data · Jul 11, 2026

Publication cadence
Publications per year over the last 10 years — averaging 5.0/year recently
2017: 2 publications172018: 2 publications18192020: 2 publications202021: 12 publications12212022: 2 publications222023: 7 publications232024: 7 publications242025: 5 publications252026: 4 publications26
Recent publications
Publishes in
  • arXiv (Cornell University)×15
  • Bulletin of the American Physical Society×7
  • Quantum Science and Technology×4
  • Physical review. A/Physical review, A×4
  • Journal of Physics B Atomic Molecular and Optical Physics×3

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 11, 2026.

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