Jacob Biamonte: Difference between revisions

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| name = Jacob Daniel Biamonte
| honorific_suffix = {{post-nominals|country=GBR|FInstP|size=100%}}
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| death_date =
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| citizenship =
| nationality = American
| fields = [[Quantum Computing]]<br>[[Tensor network|Tensor Network]]s<br>[[Mathematical Physics]]
| workplaces = [[Skolkovo Institute of Science and Technology]]<br>[[Harvard University]]<br>[[University of Oxford]]
| alma_mater = [[Portland State University]] <br> [[University of Oxford]] <br> [[Moscow Institute of Physics and Technology]]
| education = [[B.S.]] (2004), [[Ph.D.]] (2010), [[D.Sc.]] (2022)
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| doctoral_students =
| notable_students =
| known_for = [[Adiabatic Quantum Computing]], [[Quantum Machine Learning]]
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| influences = [[John Baez]], [[Roger Penrose]], [[Alexei Kitaev]]
| influenced =
| awards = [[USERN| USERN Medal]], [[Institute of Mathematics and its Applications|Fellow IMA]]
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}}
 
'''Jacob Daniel Biamonte''' {{post-nominals|country=GBR|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<ref>{{Cite web|url=https://faculty.skoltech.ru/people/jacobbiamonte
|title=Faculty Profile at the Skolkovo Institute of Science and Technology|website=skoltech.ru|access-date= May 9, 2022 }}</ref> 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<ref>{{Cite journal|date=2021|title=Universal variational quantum computation|url=|journal=Physical Review A|language=en|volume=103|pages=L030401|doi=10.1103/PhysRevA.103.L030401|last1=Biamonte|first1=Jacob|issue=3 |doi-access=free|arxiv=1903.04500}}</ref> and published several results in the development of [[quantum machine learning]]<ref>{{cite journal |doi=10.1038/nature23474 |arxiv=1611.09347 |title=Quantum machine learning |journal=Nature |volume=549 |pages=195–202 |year=2017 |last1=Biamonte |first1=Jacob |last2=Wittek |first2=Peter |last3=Nicola |first3=Pancotti|first4=Patrick|last4=Rebentrost|first5=Nathan|last5=Wiebe|first6=Seth|last6=Lloyd|issue=7671 |pmid=28905917 |s2cid=64536201 }}</ref> and the mathematics of [[tensor network]]s. His interests include developing tools in tensor networks and Hamiltonian engineering. <ref>{{Cite web |title=Jacob Biamonte |url=https://simons.berkeley.edu/people/jacob-biamonte |access-date=2024-08-08 |website=Simons Institute for the Theory of Computing |language=en}}</ref>
 
== Education ==
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[[Category:21st-century American mathematicians]]
[[Category:21st-century American physicists]]
[[Category:MathematicalAmerican mathematical physicists]]
[[Category:QuantumAmerican quantum physicists]]
[[Category:Quantum information scientists]]
[[Category:Alumni of the University of Oxford]]