Tongyang Li

IEEE Trans. Inf. Theory, May, 2024

QCircuitNet: A Large-Scale Hierarchical Dataset for Quantum Algorithm Design.

[BibT_eX]

[DOI]

CoRR, 2024

Quantum Approximate Optimization Algorithms for Maxmimum Cut on Low-Girth Graphs.

[BibT_eX]

[DOI]

CoRR, 2024

Comparisons Are All You Need for Optimizing Smooth Functions.

[BibT_eX]

[DOI]

CoRR, 2024

Quantum Non-Identical Mean Estimation: Efficient Algorithms and Fundamental Limits.

[BibT_eX]

[DOI]

Proceedings of the 19th Conference on the Theory of Quantum Computation, 2024

Efficient Optimal Control of Open Quantum Systems.

[BibT_eX]

[DOI]

Proceedings of the 19th Conference on the Theory of Quantum Computation, 2024

Quantum Algorithms and Lower Bounds for Finite-Sum Optimization.

[BibT_eX]

[DOI]

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Provably Efficient Exploration in Quantum Reinforcement Learning with Logarithmic Worst-Case Regret.

[BibT_eX]

[DOI]

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Near-Optimal Quantum Algorithm for Minimizing the Maximal Loss.

[BibT_eX]

[DOI]

Hao Wang

Proceedings of the Twelfth International Conference on Learning Representations, 2024

Combining Parameterized Pulses and Contextual Subspace for More Practical VQE.

[BibT_eX]

[DOI]

Proceedings of the 61st ACM/IEEE Design Automation Conference, 2024

2023

Quantum autoencoders for communication-efficient cloud computing.

[BibT_eX]

[DOI]

Quantum Mach. Intell., December, 2023

On Quantum Speedups for Nonconvex Optimization via Quantum Tunneling Walks.

[BibT_eX]

[DOI]

Yizhou Liu

Weijie J. Su

Quantum, June, 2023

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

[BibT_eX]

[DOI]

Weiyuan Gong

Shuo Zhou

CoRR, 2023

Quantum Langevin Dynamics for Optimization.

[BibT_eX]

[DOI]

CoRR, 2023

Logarithmic-Regret Quantum Learning Algorithms for Zero-Sum Games.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Quantum Lower Bounds for Finding Stationary Points of Nonconvex Functions.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Machine Learning, 2023

Near-Optimal Quantum Coreset Construction Algorithms for Clustering.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Machine Learning, 2023

Quantum Multi-Armed Bandits and Stochastic Linear Bandits Enjoy Logarithmic Regrets.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

Quantum simulation of real-space dynamics.

[BibT_eX]

[DOI]

Quantum, September, 2022

Sampling-based Sublinear Low-rank Matrix Arithmetic Framework for Dequantizing Quantum Machine Learning.

[BibT_eX]

[DOI]

J. ACM, 2022

Robustness of Quantum Algorithms for Nonconvex Optimization.

[BibT_eX]

[DOI]

Weiyuan Gong

CoRR, 2022

A Unified Quantum Algorithm Framework for Estimating Properties of Discrete Probability Distributions.

[BibT_eX]

[DOI]

Xinzhao Wang

Shengyu Zhang

CoRR, 2022

Adaptive Online Learning of Quantum States.

[BibT_eX]

[DOI]

CoRR, 2022

Quantum Speedups of Optimizing Approximately Convex Functions with Applications to Logarithmic Regret Stochastic Convex Bandits.

[BibT_eX]

[DOI]

Ruizhe Zhang

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Quantum Algorithms for Sampling Log-Concave Distributions and Estimating Normalizing Constants.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

2021

Quantum algorithms for escaping from saddle points.

[BibT_eX]

[DOI]

Jiaqi Leng

Quantum, 2021

Escape saddle points by a simple gradient-descent based algorithm.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Quantum Query Complexity with Matrix-Vector Products.

[BibT_eX]

[DOI]

Andrew M. Childs

Shih-Han Hung

Proceedings of the 48th International Colloquium on Automata, Languages, and Programming, 2021

On the Cut Dimension of a Graph.

[BibT_eX]

[DOI]

Proceedings of the 36th Computational Complexity Conference, 2021

Quantum Exploration Algorithms for Multi-Armed Bandits.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

Sublinear Classical and Quantum Algorithms for General Matrix Games.

[BibT_eX]

[DOI]

Chunhao Wang

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020

Quantum algorithms and lower bounds for convex optimization.

[BibT_eX]

[DOI]

Andrew M. Childs

Quantum, 2020

Long-Term and Extensive Monitoring for Bee Colonies Based on Internet of Things.

[BibT_eX]

[DOI]

IEEE Internet Things J., 2020

Quantum-Inspired Sublinear Algorithm for Solving Low-Rank Semidefinite Programming.

[BibT_eX]

[DOI]

Proceedings of the 45th International Symposium on Mathematical Foundations of Computer Science, 2020

Distributional Property Testing in a Quantum World.

[BibT_eX]

[DOI]

András Gilyén

Proceedings of the 11th Innovations in Theoretical Computer Science Conference, 2020

2019

Quantum Query Complexity of Entropy Estimation.

[BibT_eX]

[DOI]

IEEE Trans. Inf. Theory, 2019

Quantum algorithm for estimating volumes of convex bodies.

[BibT_eX]

[DOI]

CoRR, 2019

Quantum-inspired classical sublinear-time algorithm for solving low-rank semidefinite programming via sampling approaches.

[BibT_eX]

[DOI]

CoRR, 2019

Quantum Wasserstein Generative Adversarial Networks.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Sublinear quantum algorithms for training linear and kernel-based classifiers.

[BibT_eX]

[DOI]

Fernando G. S. L. Brandão

Proceedings of the 36th International Conference on Machine Learning, 2019

Quantum SDP Solvers: Large Speed-Ups, Optimality, and Applications to Quantum Learning.

[BibT_eX]

[DOI]

Proceedings of the 46th International Colloquium on Automata, Languages, and Programming, 2019

2018

A Load Sequence Design Method for Hydraulic Piston Pump Based on Time-Related Markov Matrix.

[BibT_eX]

[DOI]

IEEE Trans. Reliab., 2018

Aliasing Signal Separation of Superimposed Abrasive Debris Based on Degenerate Unmixing Estimation Technique.

[BibT_eX]

[DOI]

Sensors, 2018

2017

Efficient simulation of sparse Markovian quantum dynamics.

[BibT_eX]

[DOI]

Andrew M. Childs

Fernando G. S. L. Brandão

Quantum Inf. Comput., 2017

Exponential Quantum Speed-ups for Semidefinite Programming with Applications to Quantum Learning.

[BibT_eX]

[DOI]

CoRR, 2017

Speeding up 3D Printing Using Multi-Head Slicing Algorithms.

[BibT_eX]

[DOI]

Proceedings of the 5th International Conference on Enterprise Systems, 2017

2015

On Target Counting by Sequential Snapshots of Binary Proximity Sensors.

[BibT_eX]

[DOI]

Proceedings of the Wireless Sensor Networks - 12th European Conference, 2015

2014

An Improved Cournot Competition Model: consideration of Market Share objective.

[BibT_eX]

[DOI]