6 papers
Two Teachers Better Than One: Hardware-Physics Co-Guided Distributed Scientific Machine Learning
Yuchen Yuan, Junhuan Yang, Hao Wan +4
Scientific machine learning (SciML) is increasingly applied to in-field processing, controlling, and monitoring; however, wide-area sensing, real-time demands, and strict energy an…
Escaping Barren Plateau: Co-Exploration of Quantum Circuit Parameters and Architectures
Yipei Liu, Yuhong Song, Jinyang Li +4
Barren plateaus (BP), characterized by exponentially vanishing gradients that hinder the training of variational quantum circuits (VQC), present a pervasive and critical challenge…
A Novel Diffusion Model for Pairwise Geoscience Data Generation with Unbalanced Training Dataset
Junhuan Yang, Yuzhou Zhang, Yi Sheng +2
Recently, the advent of generative AI technologies has made transformational impacts on our daily lives, yet its application in scientific applications remains in its early stages.…
APS-USCT: Ultrasound Computed Tomography on Sparse Data via AI-Physic Synergy
Yi Sheng, Hanchen Wang, Yipei Liu +4
Ultrasound computed tomography (USCT) is a promising technique that achieves superior medical imaging reconstruction resolution by fully leveraging waveform information, outperform…
QuGeo: An End-to-end Quantum Learning Framework for Geoscience -- A Case Study on Full-Waveform Inversion
Weiwen Jiang, Youzuo Lin
The rapid advancement of quantum computing has generated considerable anticipation for its transformative potential. However, harnessing its full potential relies on identifying "k…
Edge-InversionNet: Enabling Efficient Inference of InversionNet on Edge Devices
Zhepeng Wang, Isaacshubhanand Putla, Weiwen Jiang +1
Seismic full waveform inversion (FWI) is a widely used technique in geophysics for inferring subsurface structures from seismic data. And InversionNet is one of the most successful…