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, learning properties of quantum states, and information 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.
Selected Papers
For a complete list of publications and preprints, click here.-
Randomized truncation of quantum states [arXiv]
Aram W. Harrow,Angus Lowe , Freek Witteveen -
Nearly tight bounds for testing tree tensor network states [arXiv]
Benjamin Lovitz,Angus Lowe
QIP '25 -
Optimal quantum circuit cuts with application to clustered Hamiltonian simulation [arXiv]
Aram W. Harrow,Angus Lowe
QCTiP '24, PRX Quantum 6, 010316 -
Lower bounds for learning quantum states with single-copy measurements [arXiv]
Angus Lowe , Ashwin Nayak
QIP '22, ACM Transactions on Computation Theory, Vol. 17, Iss. 1
Talks
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Nearly tight bounds for testing tree tensor network states [slides, watch]
QIP '25 -
Optimal quantum circuit cuts with application to clustered Hamiltonian simulation [slides, watch]
QCTiP '24 -
Lower bounds for learning quantum states with single-copy measurements [slides, watch]
QIP '22
Teaching
MIT- TA for 8.371: Quantum Information II (Spring 2026)
- TA for 8.01: Classical Mechanics (Fall 2025)
- TA for CO 250: Introduction to Optimization (Spring 2021)
- TA for CO 255: Advanced Introduction to Optimization (Fall 2020)
- TA for CO 370: Determinstic Operational Research Models (Fall 2020)
- TA for MATH 136: Linear Algebra I (Winter 2020)
Other writing
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(Master's Thesis) Learning Quantum States Without Entangled Measurements [link]
Angus Lowe
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Succinct analysis of the question-succinct Pauli braiding test [pdf]
Angus Lowe , Quynh Nguyen