Zichang He's Homepage

Applied Scientist Amazon Braket Amazon Web Services (AWS) Google Scholar, LinkedIn, GitHub

About Me

I am an Applied Scientist at Amazon Braket, Amazon Web Services (AWS). Previously, I was an Applied Research Lead in Global Technology Applied Research at JPMorganChase. I received my PhD degree in Electrical and Computer Engineering from the University of California, Santa Barbara (UCSB) in 2023. My research primarily focuses on the interdisciplinary topics of design automation and quantum computing.

Quantum algorithms and applications Fault-tolerant quantum computing Design automation of quantum computing Uncertainty quantification and uncertainty-aware optimization

Selected publications

• Z. He, A. Apte, B. Augustino, A. Babakhani, A. Khan, S. Omanakuttan, R. Shaydulin, “Regularized warm-started quantum approximate optimization and conditions for surpassing classical solvers on the Max-Cut problem,” 2026 [arXiv]

• M. A. Perlin, Z. He, A. A. Armenakas, P. Andres-Martinez, T. Hao, D. Herman, Y. Jin, K. Mayer, C. Self, D. Amaro, C. Ryan-Anderson, R. Shaydulin, “Fault-tolerant execution of error-corrected quantum algorithms,” accepted by Physical Review X (PRX), 2026 [arXiv]

• Z. He*, D. Amaro*, R. Shaydulin, M. Pistoia, “Performance of quantum approximate optimization with quantum error detection,” Communications Physics, 8, 217, 2025. (* Equal contributions) [arXiv] [journal link]

• Y. Jin*, Z. He*, T. Hao, D. Amaro, S. Tannu, R. Shaydulin, M. Pistoia, “Iceberg beyond the tip: Co-compilation of a quantum error detection code and a quantum algorithm,” 2025 (* Equal contributions) [arXiv]

• T. Hao*, Z. He*, R. Shaydulin, J. Larson, M. Pistoia, “End-to-end protocol for high-quality QAOA parameters with few shots,” Physical Review Research, 7(3), 2025 (* Equal contributions) [arXiv]