1 citations · 1 across the 4 of their papers we have counts for
5 papers
A multilevel stochastic-gradient neural solver for boundary integral equations
Bing-Ze Lu, Richard Tsai
We propose a multilevel stochastic-gradient neural solver (MLSG) for second-kind boundary integral equations. MLSG represents the unknown boundary density using a neural network op…
Optimizing Mixed Quantum Channels via Projected Gradient Dynamics
Matthew M. Lin, Bing-Ze Lu
Designing a mixed quantum channel is challenging due to the complexity of the transformations and the probabilistic mixtures of more straightforward channels involved. Fully charac…
An Iterative Methodology for Unitary Quantum Channel Search
Matthew M. Lin, Hao-Wei Huang, Bing-Ze Lu
In this paper, we propose an iterative algorithm using polar decomposition to approximate a channel characterized by a single unitary matrix based on input-output quantum state pai…
Approximation of the Nearest Classical-Classical State to a Quantum State
BingZe-Lu, Matthew M. Lin, YuChen-Shu
The capacity of quantum computation exceeds that of classical computers. A revolutionary step in computation is driven by quantumness or quantum correlations, which are permanent i…
Nurse Scheduling Problem via PyQUBO
Matthew M. Lin, Yu-Chen Shu, Bing-Ze Lu +1
The nurse scheduling problem is a critical optimization challenge in healthcare management. It aims to balance staffing demands, nurse satisfaction, and patient care quality. Corre…