About
Folklore on Qubits Last updated: 08/26/2026


Angus Lowe

Angus Lowe

PhD Candidate · MIT Email: alowe7 at mit dot edu


I am a PhD candidate at the Center for Theoretical Physics at MIT, advised by Aram Harrow. My primary interests lie in quantum information science, particularly quantum algorithms and quantum learning theory. Before MIT, I completed a BSc in computer science and physics at the University of Edinburgh and an MMATH at the University of Waterloo. I also previously worked as a quantum algorithms researcher at Xanadu.

I will be on the job market in the fall of 2026; feel free to get in touch!

Selected Papers

Author ordering is alphabetical. For a complete list of publications and preprints, click here.

  • Random dimension reduction and learning symmetric properties of quantum states [arXiv]
  • Randomized truncation of quantum states [arXiv]
  • Nearly tight bounds for testing tree tensor network states [arXiv]

    IEEE Transactions on Information Theory, Vol. 72, No. 5
    QIP '25
  • Optimal quantum circuit cuts with application to clustered Hamiltonian simulation [arXiv]

    PRX Quantum 6, 010316
    QCTiP '24
  • Lower bounds for learning quantum states with single-copy measurements [arXiv]

    ACM Transactions on Computation Theory, Vol. 17, Iss. 1
    QIP '22

Talks

  • Random dimension reduction and learning symmetric properties of quantum states [slides]
    Waterloo Quantum CS Seminar (Aug 2026)
  • Randomized truncation of quantum states [slides]
    Hon-Hai Research Institute Quantum Seminar (May 2026)
    Columbia Quantum Group Meeting (Mar 2026)
    Boston University Quantum Seminar (Jan 2026)
  • Nearly tight bounds for testing tree tensor network states [slides, watch]
    QIP '25 (Feb 2025)
  • Optimal quantum circuit cuts with application to clustered Hamiltonian simulation [slides, watch]
    QCTiP '24 (April 2024)
  • Lower bounds for learning quantum states with single-copy measurements [slides, watch]
    QIP '22 (Mar 2022)

Teaching

MIT

  • 8.371: Quantum Information Science II (Spring 2026)
  • 8.01: Classical Mechanics (Fall 2025)

University of Waterloo

  • CO 250: Introduction to Optimization (Spring 2021)
  • CO 255: Advanced Introduction to Optimization (Fall 2020)
  • CO 370: Deterministic Operational Research Models (Fall 2020)
  • MATH 136: Linear Algebra I (Winter 2020)

Other Writing

  • Learning Quantum States Without Entangled Measurements [link]
    Master's thesis, University of Waterloo
  • Lecture notes on entanglement as a resource [pdf]
    Quantum Information Science II, MIT
  • Succinct analysis of the question-succinct Pauli braiding test [pdf]