Ramis Movassagh
Ramis Movassagh | |
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| Doctoral advisor | Peter W. Shor |
| Website | ramismovassagh |
Ramis Movassagh is a Canadian mathematical physicist of Iranian origin who lives in the US.
His research interests are quantum information, quantum computation, and quantum complexity theory. He also works on random matrix theory, and many-body systems.
He is known for the Motzkin quantum spin chain[2] (also known as the Shor-Movassagh quantum spin chain [3][4]), and his work on quantum supremacy[5][6]. He is currently a researcher at Google quantum AI[7], and runs a blog on science and mathematics [8].
Education
Movasssagh obtained his BSc in Applied and Engineering Physics from Cornell University, where he was influenced by Roald Hoffmann[9]. He then spent 3 years at ETH Zurich, where he worked in neuroscience and mathematical physics with Reinhard Nesper and Juerg Froehlich. He obtained his PhD from Massachusetts Institute of Technology under the supervision of Peter Shor.
References
- ↑ Albert, Vicor; Faist, Philippe (2022). "Movassagh-Ouyang Hamiltonian code". The Error Correction Zoo.
- ↑ Movassagh, Ramis; Shor, Peter (November 7, 2016). "Supercritical entanglement in local systems: Counterexample to the area law for quantum matter". Proceedings of National Academy of Sciences.
- ↑ Tong, Bin; Salberger, Olof; Hao, Kun; Korepin, Vladimir (September 8, 2021). "Shor–Movassagh chain leads to unusual integrable model". Journal of Physics A: Mathematical and Theoretical.
- ↑ Salberger, Olof; Korepin, Vladimir (2017). "Entangled spin chain". Reviews in Mathematical Physics.
- ↑ Movassagh, Ramis (2019). "Quantum supremacy and random circuits". arXiv.
- ↑ Kondo, Yasuhiro; Mori, Ryuhei; Movassagh, Ramis (2021). "Quantum supremacy and hardness of estimating output probabilities of quantum circuits". 2021 IEEE 62nd Annual Symposium on Foundations of Computer Science (FOCS).
- ↑ "Google Quantum AI".
- ↑ "Ramis Movassagh's Blog".
- ↑ Movassagh, Ramis; Strang, Gilbert; Tsuji, Yuta; Hoffmann, Roald (2017). "The Green's function for the Hückel (tight binding) model". Journal of Mathematical Physics.
External links
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