Adaptive shot allocation for fast convergence in variational quantum algorithms. - Andi Gu; Angus Lowe; Pavel A. Dub; Patrick J. Coles; Andrew Arrasmith (CoRR, 2021)

Practical Black Box Hamiltonian Learning. - Andi Gu; Lukasz Cincio; Patrick J. Coles (CoRR, 2022)

Variable Length Embeddings. - Johnathan Chiu; Andi Gu; Matt Zhou (CoRR, 2023)

Exploiting Inductive Biases in Video Modeling through Neural CDEs. - Johnathan Chiu; Samuel Duffield; Max Hunter Gordon; Kaelan Donatella; Maxwell Aifer; Andi Gu (CoRR, 2023)

Demonstration of Robust and Efficient Quantum Property Learning with Shallow Shadows. - Hong-Ye Hu; Andi Gu; Swarnadeep Majumder; Hang Ren; Yipei Zhang; Derek S. Wang; Yi-Zhuang You; Zlatko Minev; Susanne F. Yelin; Alireza Seif (CoRR, 2024)

Zero and Finite Temperature Quantum Simulations Powered by Quantum Magic. - Andi Gu; Hong-Ye Hu; Di Luo; Taylor L. Patti; Nicholas C. Rubin; Susanne F. Yelin (Quantum, 2024)