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Ewin Tang
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Ewin Tang
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Ewin Tang Ewin Tang 🗒️ about me I am a Miller postdoctoral fellow at UC Berkeley, hosted by Umesh Vazirani . I do theoretical computer science, primarily quantum computing and randomized numerical linear algebra. Most of my work is on quantum learning, in the senses of “algorithms for learning properties of quantum systems” and “limitations of quantum algorithms for machine learning”. I received my PhD at the University of Washington, advised by James Lee . Prior to that, I did my undergrad at UT Austin , where I did a thesis advised by Scott Aaronson . [me] [CV] (last updated September 2022) research [google scholar] [talks and teaching] Learning quantum Hamiltonians at any temperature in polynomial time – Ainesh Bakshi, Allen Liu, Ankur Moitra, Ewin Tang QIP 2024 plenary talk Quantum machine learning without any quantum (thesis; [full pdf] ) Do you know what q -means? – João F. Doriguello, Alessandro Luongo, Ewin Tang An improved classical si...
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