Tongyang Li

Tongyang Li

Massachusetts Institute of Technology

H-index: 15

North America-United States

About Tongyang Li

Tongyang Li, With an exceptional h-index of 15 and a recent h-index of 15 (since 2020), a distinguished researcher at Massachusetts Institute of Technology, specializes in the field of Quantum Computing, Theoretical Computer Science, Optimization, Machine Learning.

His recent articles reflect a diverse array of research interests and contributions to the field:

A Quantum Algorithm Framework for Discrete Probability Distributions with Applications to Rényi Entropy Estimation

Near-Optimal Quantum Algorithm for Minimizing the Maximal Loss

Logarithmic-regret quantum learning algorithms for zero-sum games

A Theory of Digital Quantum Simulations in the Low-Energy Subspace

Quantum autoencoders for communication-efficient cloud computing

Quantum Langevin Dynamics for Optimization

Exponential speedups for quantum walks in random hierarchical graphs

Unleashing the potential of llms for quantum computing: A study in quantum architecture design

Tongyang Li Information

University

Position

Center for Theoretical Physics

Citations(all)

960

Citations(since 2020)

926

Cited By

243

hIndex(all)

15

hIndex(since 2020)

15

i10Index(all)

19

i10Index(since 2020)

19

Email

University Profile Page

Google Scholar

Tongyang Li Skills & Research Interests

Quantum Computing

Theoretical Computer Science

Optimization

Machine Learning

Top articles of Tongyang Li

A Quantum Algorithm Framework for Discrete Probability Distributions with Applications to Rényi Entropy Estimation

IEEE Transactions on Information Theory

2024/3/26

Near-Optimal Quantum Algorithm for Minimizing the Maximal Loss

arXiv preprint arXiv:2402.12745

2024/2/20

Logarithmic-regret quantum learning algorithms for zero-sum games

2024/2/13

A Theory of Digital Quantum Simulations in the Low-Energy Subspace

arXiv preprint arXiv:2312.08867

2023/12/14

Quantum autoencoders for communication-efficient cloud computing

Quantum Machine Intelligence

2023/12

Quantum Langevin Dynamics for Optimization

arXiv preprint arXiv:2311.15587

2023/11/27

Exponential speedups for quantum walks in random hierarchical graphs

arXiv preprint arXiv:2307.15062

2023/7/27

Unleashing the potential of llms for quantum computing: A study in quantum architecture design

arXiv preprint arXiv:2307.08191

2023/7/17

Fast and practical quantum-inspired classical algorithms for solving linear systems

arXiv preprint arXiv:2307.06627

2023/7/13

Near-optimal quantum coreset construction algorithms for clustering

2023/7/3

Quantum lower bounds for finding stationary points of nonconvex functions

2023/7/3

Quantum multi-armed bandits and stochastic linear bandits enjoy logarithmic regrets

Proceedings of the AAAI Conference on Artificial Intelligence

2023/6/26

On quantum speedups for nonconvex optimization via quantum tunneling walks

Quantum

2023

Fidelity estimator, randomized benchmarking and ZNE for quantum pulses

arXiv preprint arXiv:2305.12597

2023/5/21

Quantum algorithm for estimating volumes of convex bodies

ACM Transactions on Quantum Computing

2023/5/8

Provably efficient exploration in quantum reinforcement learning with logarithmic worst-case regret

arXiv preprint arXiv:2302.10796

2023/2/21

Hamiltonian simulation with random inputs

Physical Review Letters

2022/12/30

Quantum algorithms for sampling log-concave distributions and estimating normalizing constants

Advances in Neural Information Processing Systems

2022/12/6

Quantum speedups of optimizing approximately convex functions with applications to logarithmic regret stochastic convex bandits

Advances in Neural Information Processing Systems

2022/12/6

See List of Professors in Tongyang Li University(Massachusetts Institute of Technology)

Co-Authors

academic-engine