Haoya Li

Stanford University — United States

Computer Science · Physical Sciences

7h-index162citations24works4.72yr avg
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Research Topics

Quantum Computing Algorithms and Architecture(12), Quantum Information and Cryptography(9), Model Reduction and Neural Networks(5), Reinforcement Learning in Robotics(4), Blind Source Separation Techniques(4)

Publications24 total

An Analysis of Offline Model-Based Learning with Action Noise
Journal of Scientific Computing·2025
Quantum Multiple Eigenvalue Gaussian filtered Search: an efficient and versatile quantum phase estimation method
Quantum·2024· 17 citedOpen Access
Heisenberg-limited Hamiltonian learning for interacting bosons
npj Quantum Information·2024· 7 citedOpen Access
Quantum Hamiltonian Learning for the Fermi-Hubbard Model
Acta Applicandae Mathematicae·2024· 4 cited
Accelerating Primal-Dual Methods for Regularized Markov Decision Processes
SIAM Journal on Optimization·2024
Quantum Multiple Eigenvalue Gaussian filtered Search: an efficient and versatile quantum phase estimation method
arXiv (Cornell University)·2024Open Access
Quantum Hamiltonian Learning for the Fermi-Hubbard Model
arXiv (Cornell University)·2023Open Access
Adaptive low-depth quantum algorithms for robust multiple-phase estimation
Physical review. A/Physical review, A·2023· 19 cited
On low-depth algorithms for quantum phase estimation
Quantum·2023· 37 citedOpen Access
Approximate Newton Policy Gradient Algorithms
SIAM Journal on Scientific Computing·2023· 3 cited
A note on spike localization for line spectrum estimation
Applied and Computational Harmonic Analysis·2023· 5 cited
Heisenberg-limited Hamiltonian learning for interacting bosons
arXiv (Cornell University)·2023· 3 citedOpen Access
On efficient quantum block encoding of pseudo-differential operators
Quantum·2023· 13 citedOpen Access
On adaptive low-depth quantum algorithms for robust multiple-phase estimation
arXiv (Cornell University)·2023· 5 citedOpen Access
A note on spike localization for line spectrum estimation
arXiv (Cornell University)·2023· 2 citedOpen Access
On low-depth algorithms for quantum phase estimation
arXiv (Cornell University)·2023· 3 citedOpen Access
On efficient quantum block encoding of pseudo-differential operators
arXiv (Cornell University)·2023Open Access
Monte Carlo Tree Search based Hybrid Optimization of Variational Quantum Circuits
arXiv (Cornell University)·2022· 3 citedOpen Access
Accelerating Primal-dual Methods for Regularized Markov Decision Processes
arXiv (Cornell University)·2022Open Access
A semigroup method for high dimensional elliptic PDEs and eigenvalue problems based on neural networks
Journal of Computational Physics·2022· 15 citedOpen Access
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Frequent Co-authors

Lexing Ying(24), Hongkang Ni(12), Hsiang‐Fu Yu(4), Inderjit S. Dhillon(4), Zhiyan Ding(2), Hongkang Ni(2), Ruizhe Zhang(2), Yuehaw Khoo(2), Yinuo Ren(2), Yu Tong(2), Lin Lin(2), Samarth Gupta(2), Lin Lin(1), Yuwei Fan(1), Tuvia Gefen(1), Jiahao Yao(1), Marin Bukov(1), Tuvia Gefen(1), Tanmay Gangwani(1)