Yudong Cao

Yudong Cao, Ph.D.

Chief Technology Officer & Co-Founder

Yudong Cao has a background in Mechanical Engineering, Computer Science and 10+ years of experience working on Quantum Computing and Quantum Information. He obtained his Ph.D. in Computer Science from Purdue University and then joined the Aspuru-Guzik group at Harvard University for his postdoc. The main focus of Yudong’s work at Harvard was developing and deploying algorithms for noisy intermediate-scale quantum devices. This work has evolved into Yudong’s current role as the CTO of Zapata Computing. As CTO, Yudong supports and directs a team of scientists developing quantum techniques for generative modeling and applying them to industrial use cases. More recently, his focus has been on how these advanced techniques can be used to enhance deep learning in language and time series-based applications.