Biography:Jacob Biamonte
Jacob Daniel Biamonte | |
|---|---|
| Born | January 22, 1979 Lancaster, New Hampshire, United States |
| Nationality | American |
| Education | B.S. (2004), Ph.D. (2010), D.Sc. (2022) |
| Alma mater | Portland State University University of Oxford Moscow Institute of Physics and Technology |
| Known for | Adiabatic Quantum Computing, Quantum Machine Learning |
| Awards | USERN Medal, Fellow IMA |
| Scientific career | |
| Fields | Quantum Computing Tensor Networks Mathematical Physics |
| Institutions | Skolkovo Institute of Science and Technology Harvard University University of Oxford |
Jacob Daniel Biamonte FInstP is an American physicist and theoretical computer scientist active in the fields of quantum information theory and quantum computing. He left a tenured professorship at the Skolkovo Institute of Science and Technology in Russia[1] after the start of the Russo-Ukrainian War.
Biamonte contributed several universality proofs which established the first experimentally relevant universal models of adiabatic quantum computation. He also proved universality of the NISQ era variational model of quantum computation[2] and published several results in the development of quantum machine learning[3] and the mathematics of tensor networks.
Education
Biamonte completed a Ph.D. at the University of Oxford in 2010.[4] In 2022 he defended a thesis for Russia's Doctor of Physical and Mathematical Sciences at Moscow Institute of Physics and Technology.[5][6]
Honors and awards
In 2023 Biamonte was elected Fellow of the Institute of Physics and in 2021 he became a Fellow of the Institute of Mathematics and its Applications. In 2018 Biamonte was awarded the USERN Medal in Formal Sciences for his work on quantum algorithms.[7] In 2014 Biamonte became an invited member of the Foundational Questions Institute.[8][9]
References
- ↑ "Faculty Profile at the Skolkovo Institute of Science and Technology". https://faculty.skoltech.ru/people/jacobbiamonte.
- ↑ Biamonte, Jacob (2021). "Universal variational quantum computation" (in en). Physical Review A 103 (3): L030401. doi:10.1103/PhysRevA.103.L030401.
- ↑ Biamonte, Jacob; Wittek, Peter; Nicola, Pancotti; Rebentrost, Patrick; Wiebe, Nathan; Lloyd, Seth (2017). "Quantum machine learning". Nature 549 (7671): 195–202. doi:10.1038/nature23474. PMID 28905917.
- ↑ "Mathematics Genealogy Project". https://www.genealogy.math.ndsu.nodak.edu/id.php?id=150150.
- ↑ "Moscow Institute of Physics and Technology Dissertation Council". https://mipt.ru/education/post-graduate/biamonte-dzheykob-deniel.php?sphrase_id=538028&clear_cache=Y.
- ↑ Biamonte, Jacob (2022). On the mathematical structure of quantum models of computation based on Hamiltonian minimisation (DSc). Moscow Institute of Physics and Technology. p. 242. arXiv:2009.10088.
- ↑ "The 2018 USERN Prize Ceremony in Reggio Calabria". https://usern.tums.ac.ir/News/New?title=The%202018%20Marathon%20for%20USERN%20Prize%20Ends%20in%20Reggio%20Calabria.
- ↑ "Awarded Projects Announcements". https://fqxi.org/grants/large/awardees/view/__details/2013/biamonte.
- ↑ "Six Degrees to the Emergence of Reality, FQXi interview, by Carinne Piekema". https://fqxi.org/community/articles/display/197.
External links
- Laboratory for Quantum Information Processing at the Skolkovo Institute of Science and Technology
- Jacob Biamonte publications indexed by Google Scholar
 |  |
