Sajant Anand

Sajant Anand

Physics PhD Student, UC Berkeley

University of California, Berkeley


I am a 3rd year PhD student in the physics department at UC Berkeley working with Prof. Mike Zaletel. Prior to coming to California, I pursued a Masters in Applied Mathematics and Theoretical Physics at the University of Cambridge. I completed my undergraduate education at Wake Forest University, where I majored in physics and computer science, with a minor in mathematics. I worked with Profs. Oana Jurchescu and Sam Cho on organic field-effect transistors and computational DNA modelling, respectively.

I am interested in far too many research topics, but I focus on designing tensor network algorithms for simulation of quantum many-body systems on both classical and quantum computing. Additionally, I have contributed to several machine learning efforts during my time at Berkeley. I am also passionate about scientific education and intend to pursue a career in academic physics.

Download my resumé.

  • Tensor Networks
  • Quantum Computing
  • Deep Learning Theory
  • PhD in Physics, 2019 - 2024 (Expected)

    University of California, Berkeley

  • Masters in Applied Mathematics and Theoretical Physics, 2019

    University of Cambridge

  • BSc in Physics and Computer Science, 2018

    Wake Forest University

Recent & Upcoming Talks

Holographic Quantum Simulation using Isometric Tensor Networks
To Appear

Recent Publications

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(2021). On the Power of Shallow Learning.