Ashutosh Tripathi

ABOUT

Hello, I am Ashutosh Tripathi, a Postdoctoral Researcher at the Asia Pacific Center for Theoretical Physics (APCTP, Korea), where I am working with Dr. Hyun-Sik Jeong. I completed my PhD in Physics at the High Energy Accelerator Research Organization (KEK, Japan), mentored by Prof. Jun Nishimura. Earlier, I obtained an integrated BS–MS degree in Physics from the Indian Institute of Science Education and Research (IISER Mohali, India), where I carried out my Master’s thesis research under the guidance of Dr. Anosh Joseph.

My research focuses on non-perturbative problems in quantum field theory, lattice gauge theory, and matrix models motivated by string theory and quantum gravity. I work on both continuum and lattice formulations, with particular interest in computational challenges such as the sign problem, topological freezing, and large-(N) scaling. My work spans a range of numerical and analytical methods, including complexified path integrals, Lefschetz thimble techniques, and variational approaches with neural network quantum states. More recently, my research has expanded toward machine-learning and quantum-computing approaches to strongly coupled systems. In particular, I am interested in physics-informed neural networks for problems in holographic QCD and in gravity-inspired questions such as the ER=EPR conjecture, as well as sample-based Krylov quantum diagonalization for studying ground-state properties of matrix models and other quantum systems. More broadly, my goal is to develop scalable computational frameworks that connect theoretical physics with modern AI and quantum computing, and to apply them to open problems in high-energy theory, quantum gravity, and quantum many-body physics.

PUBLICATIONS

Full list: INSPIRE · Google Scholar

1. Inequivalence between the Euclidean and Lorentzian versions of the type IIB matrix model from Lefschetz thimble calculations — C.-Y. Chou, J. Nishimura, A. Tripathi (2025). Journal (DOI) · arXiv

TALKS

Learning Higher-Derivative Holography from QGP Transport Data with PINNs

Feb 23, 2026 — The Westin Josun Hotel, Busan

slides (pdf) · conference webpage

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