Evgenii Zheltonozhskii
Lidow Complex, room 455
Technion
Haifa, 3200003
I’m a Physics Ph.D. student in Technion, advised by Netanel Lindner and supported by Adams fellowship. You can find more details about my experience in short resume or longer academic CV.
Research interests: I’m interested in the condensed matter theory of strongly correlated materials and, in particular, topological phases and topological quantum computing, as well as the application of deep learning and self-supervised learning in physics. Currently, I focus on different aspects of topological quantum computing implementation. This includes experiments related to TQC, such as fractional quantum Hall edges, Kitaev spin liquid, and p+ip superconductors, possible realizations of universal quantum computing in topological systems, and usage of topological system simulations as quantum error-correction codes. I also have a Telegram channel where I post links to research I find interesting.
Previously: I finished CS M.Sc. in Technion, advised by Alex Bronstein, Avi Mendelson, and Chaim Baskin, and studied reduced supervision in computer vision (in particular, self-supervised and semi-supervised learning). I was a research intern in Creative Vision team in Snap Research in Summer 2020, working on 3D reconstruction trained on single 2D views with Olly Woodford and Sergey Tulyakov. Before that, I was part of Rothschild Technion Program for Excellence and received double B.Sc. (CS and Physics+Math, Cum Laude) from Technion. In 2017, I participated in Google Summer of Code under OpenCV organization.
news
Mar 13, 2024 | I was selected as one of eight recipients of the Prof. Rahamimoff Travel Grants for Young Scientists to visit Gil Refael at Caltech and study non-abelian anyons in optically driven magnetic materials. |
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Mar 01, 2024 | It was nice to participate in 15th HOPE Meeting with Nobel Laureates as one of five Israeli representatives. |
May 11, 2023 | The paper “StarCoder: may the source be with you!” was released to arxiv! This is result of awesome BigCode collaboration. |