Jacob Miller is a Senior Quantum Architecture Scientist with a decade of cross-disciplinary research experience at the intersection of quantum computing and AI, now leading architecture work at Xanadu. He brings deep expertise in tensor networks and hybrid classical/quantum methods, and has a track record of turning physics-inspired theory into practical solutions for generative models, ML compression, and edge deployment of LLMs. Jacob has led teams and projects at Zapata AI and SandboxAQ, published multiple first-author papers (including PRL), and earned top honors for his PhD thesis in quantum computing. Known for creative problem-solving and strong communication, he excels at matching advanced mathematical tools to real-world engineering constraints — a disproportionate share of his innovations leverage tensor networks in unexpectedly broad applications.
8 years of coding experience
10 years of employment as a software developer
Doctor of Philosophy - PhD Quantum Computing, Doctor of Philosophy - PhD Quantum Computing at The University of New Mexico
Bachelor's degree Engineering with Physics, Bachelor's degree Engineering with Physics at Franklin W. Olin College of Engineering
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Jacob Miller - Senior Quantum Architecture Scientist at Xanadu