Xin-chuan Wu
Research Scientist In Quantum Computing at Intel Corporation
California, United States
Summary
👤
Senior🎓
Top SchoolXin-Chuan (Ryan) Wu is a research scientist and manager in quantum computing software at Intel Foundry with a decade of experience bridging embedded systems, high-performance computing, and quantum research. He holds a PhD from the University of Chicago and has contributed to quantum circuit synthesis, ILP-based schedulers for trapped-ion architectures, and amplitude-aware compression techniques for simulating deep circuits beyond 50 qubits. Prior to quantum research he led embedded and Android system bring-up, kernel driver development, and international technical-account engineering at ASUS, giving him rare end-to-end systems insight from silicon to algorithms. Based in California, he combines academic rigor with production-grade engineering, often translating research prototypes into scalable tooling for hardware-constrained environments. An underappreciated thread in his career is his repeated focus on power- and resource-efficient solutions—from DSP power profiling to memory-efficient quantum simulation—making him well-suited for practical quantum-classical co-design.
10 years of coding experience
7 years of employment as a software developer
Bachelor of Science (BS), Computer Science, Bachelor of Science (BS), Computer Science at National Chiao Tung UniversityMaster's Degree, Computer Science, Master's Degree, Computer Science at National Taiwan UniversityDoctor of Philosophy - PhD, Computer Science, Doctor of Philosophy - PhD, Computer Science at University of Chicago
English, Chinese
Github Skills (9)
cloud-computing9
simulator9
quantum-computing9
high-performance8
compilation5
scaffold4
optimization3
quantum-programming-language2
programming-language2
Programming languages (2)
Github contributions (5)
ryanxw/ryanxw.github.io
Dec 2015 - Apr 2019
Contributions:23 pushes, 1 branch in 3 years 4 months
ryanxw/compressed_qcsim
Apr 2019 - Aug 2019
Contributions:5 commits, 3 pushes, 1 branch in 4 months
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