Yingheng Tang

Yingheng Tang is a postdoctoral researcher in the Center for Computational Sciences and Engineering at Lawrence Berkeley National Laboratory. His research focuses on developing AI foundation models for scientific discovery, with applications in microelectronics, photonics, and quantum systems. He also works on HPC-driven numerical modeling to study problems that span multiple physical and temporal scales.
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Posts by Yingheng Tang

Simulation / Modeling / Design

Building Better Qubits with GPU-Accelerated Computing

Quantum computing promises to revolutionize science and industry, from drug discovery to materials science. But building a useful, large-scale quantum computer... 5 MIN READ