Fang Zhang

Title: Fang Zhang: Innovator in Tensor Network Contraction

Introduction

Fang Zhang is a notable inventor based in San Mateo, California. She has made significant contributions to the field of tensor networks, particularly through her innovative patent. Her work focuses on enhancing computational efficiency in complex systems.

Latest Patents

Fang Zhang holds a patent titled "Distributed tensor network contraction scheme with splitting based on dynamic ordering." This patent outlines a method for performing contraction on a tensor network. The method includes receiving a tensor network comprising multiple tensors and edges, determining a contraction order, and distributing sub-networks to computing nodes for efficient processing.

Career Highlights

Fang Zhang is associated with Alibaba Group Holding Limited, where she applies her expertise in tensor networks. Her innovative approach has the potential to revolutionize how complex computations are handled in various applications.

Collaborations

Fang has collaborated with talented individuals such as Jiachen Huang and Jianxin Chen, contributing to advancements in their field.

Conclusion

Fang Zhang's work in tensor network contraction showcases her innovative spirit and dedication to improving computational methods. Her contributions are paving the way for future advancements in technology.