1 citations · 1 across the 8 of their papers we have counts for
8 papers
Optimal Strategies for Multi-parameter Quantum Metrology
Linxuan Li, Zihao Hu, Longyun Chen +2
Estimating multiple unknown parameters simultaneously is essential for practical quantum sensing. However, it faces a fundamental challenge: the optimal strategy for estimating one…
Adaptive Accelerated Gradient Descent Methods for Convex Optimization
Zeyi Xu, Long Chen
This work proposes AGD, a novel adaptive accelerated gradient descent method for convex and composite optimization. Smoothness and convexity constants are updated via Lyapunov…
Accelerated Mirror Descent Method through Variable and Operator Splitting
Long Chen, Hao Luo, Jingrong Wei +2
Mirror descent uses the mirror function to encode geometry and constraints, improving convergence while preserving feasibility. Accelerated Mirror Descent Methods (Acc-MD) are deri…
HNAG: An Accelerated Gradient Method with a Refined Asymptotic Rate for Strongly Convex Optimization
Long Chen, Zeyi Xu
Two accelerated first-order methods, HNAG and HNAG, are introduced for smooth strongly convex optimization. They are derived from the Hessian-driven Nesterov Accelerated…
Optimal quantum sampling on distributed databases
Longyun Chen, Jingcheng Liu, Penghui Yao
Quantum sampling, a fundamental subroutine in numerous quantum algorithms, involves encoding a given probability distribution in the amplitudes of a pure state. Given the hefty cos…
Optimal quantum metrology under energy constraints
Longyun Chen, Yuxiang Yang
The traditional framework of quantum metrology commonly assumes unlimited access to resources, overlooking resource constraints in realistic scenarios. As such, the optimal strateg…
Tuning-Free Structured Sparse PCA via Deep Unfolding Networks
Long Chen, Xianchao Xiu
Sparse principal component analysis (PCA) is a well-established dimensionality reduction technique that is often used for unsupervised feature selection (UFS). However, determining…
Deep-Sea A*+: An Advanced Path Planning Method Integrating Enhanced A* and Dynamic Window Approach for Autonomous Underwater Vehicles
Yinyi Lai, Jiaqi Shang, Zenghui Liu +3
As terrestrial resources become increasingly depleted, the demand for deep-sea resource exploration has intensified. However, the extreme conditions in the deep-sea environment pos…