A Scalable Matrix-Free Iterative Eigensolver for Studying Many-Body Localization. - Roel Van Beeumen; Gregory D. Kahanamoku-Meyer; Norman Y. Yao; Chao Yang 001 (HPC Asia, 2020)

Classically-Verifiable Quantum Advantage from a Computational Bell Test. - Gregory D. Kahanamoku-Meyer; Soonwon Choi; Umesh V. Vazirani; Norman Y. Yao (CoRR, 2021)

Enhancing scalability of a matrix-free eigensolver for studying many-body localization. - Roel Van Beeumen; Khaled Z. Ibrahim; Gregory D. Kahanamoku-Meyer; Norman Y. Yao; Chao Yang 001 (Int. J. High Perform. Comput. Appl., 2022)

Approximately-symmetric neural networks for quantum spin liquids. - Dominik S. Kufel; Jack Kemp; Simon M. Linsel; Chris R. Laumann; Norman Y. Yao (CoRR, 2024)

A polynomial-time classical algorithm for noisy quantum circuits. - Thomas Schuster; Chao Yin; Xun Gao; Norman Y. Yao (CoRR, 2024)

Hardness of recognizing phases of matter. - Thomas Schuster; Dominik S. Kufel; Norman Y. Yao; Hsin-Yuan Huang (CoRR, 2025)