4 papers
Dual-Correction Physics-Informed Neural Networks for Hemodynamic Reconstruction from Sparse Data
Jingtai Song, Qinsheng Zhu, Xiaodong Xing +4
Quantifying hemodynamics in the curved segments of the intracranial internal carotid artery is a core challenge in diagnosing vascular stenosis. Conventional full-field imaging, su…
Channel-Constrained Markovian Quantum Diffusion Model from Open System Perspective
Qin-Sheng Zhu, Geng Chen, Lian-Hui Yu +2
We present a channel-constrained Markovian quantum diffusion (CCMQD) model that prepares quantum states by rigorously framing the generative process within the dynamics of open qua…
Untrained Filtering with Trained Focusing for Superior Quantum Architecture Search
Lian-Hui Yu, Xiao-Yu Li, Geng Chen +3
Quantum architecture search (QAS) represents a fundamental challenge in quantum machine learning. Unlike previous methods that treat it as a static search process, from a perspecti…
QUSL: Quantum Unsupervised Image Similarity Learning with Enhanced Performance
Lian-Hui Yu, Xiao-Yu Li, Geng Chen +3
Leveraging quantum properties to enhance complex learning tasks has been proven feasible, with excellent recent achievements in the field of unsupervised learning. However, current…