Arkaprava Mukherjee
Physics and Astronomy · The Ohio State University
Publications
11
Citations
85
Est. group size
—
Recurring co-author estimate
Active years
27
Publishing since 2000
Arkaprava Mukherjee works in theoretical physics at the intersection of quantum chaos, random matrix theory, and models of quantum gravity such as the SYK (Sachdev-Ye-Kitaev) model. Their work uses mathematical tools like random matrices and information-theoretic measures to study how complex quantum systems behave chaotically and how this relates to black hole physics. This research is highly mathematical and theoretical, aimed at understanding fundamental questions about quantum systems and gravity.
Publication output has been modest and irregular over the past decade, with occasional gaps followed by a slight uptick in recent years (2023-2025).
Generated by claude-sonnet-5 from public bibliographic data · Jul 20, 2026
- Multipartite information in sparse SYK models
Journal of High Energy Physics · 2025
- Multipartite information in sparse SYK models
arXiv (Cornell University) · 2024
- Sparse random matrices and Gaussian ensembles with varying randomness
Journal of High Energy Physics · 2023
- Sparse random matrices and Gaussian ensembles with varying randomness
arXiv (Cornell University) · 2023
- Spectral form factor for time-dependent matrix model
Journal of High Energy Physics · 2021
- A bound on quantum chaos from Random Matrix Theory with Gaussian Unitary Ensemble
Journal of High Energy Physics · 2019
- A universal bound on Quantum Chaos from Random Matrix Theory
arXiv (Cornell University) · 2018
- arXiv (Cornell University)×5
- Journal of High Energy Physics×4
- Laimei Nie
Physics and Astronomy · Purdue University West Lafayette
- Ceren B. Dağ
Physics and Astronomy · Indiana University
- Keiichiro Furuya
Physics and Astronomy · Purdue University West Lafayette
- Saikat Mondal
Physics and Astronomy · The Ohio State University
- Sheng Tan
Physics and Astronomy · Purdue University West Lafayette
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 19, 2026.
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