Jacob Biamonte

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Jacob Daniel Biamonte
Born (1979-01-22) January 22, 1979 (age 47)
EducationPh.D. (2010), D.Sc. (2022)
Alma materPortland State University
University of Oxford
Moscow Institute of Physics and Technology
Known forAdiabatic Quantum Computing, Quantum Machine Learning
Awards USERN Medal, Fellow IMA
Scientific career
FieldsQuantum Computing
Tensor Networks
Mathematical Physics
InstitutionsSkolkovo 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 is a Professor in the University of Quebec system, specifically at the École de technologie supérieure (ÉTS), and holds the Quebec Ministry (MEIE) Research Excellence Chair in Quantum Computing, awarded by the Government of Quebec.

Biamonte contributed several universality proofs, including results establishing the first experimentally relevant universal models of Adiabatic quantum computation.[1] He also proved universality of the variational model of quantum computation.[2] Additionally, Biamonte played a role in developing quantum machine learning,[3] and contributed to the theory and application of tensor network methods, and tensor-based algorithms.[4]

Education

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Biamonte completed a Ph.D. at the University of Oxford in 2010.[5] In 2022 he defended a thesis for Russia's Doctor of Physical and Mathematical Sciences at Moscow Institute of Physics and Technology.[6][7]

Honors and awards

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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.[8] In 2014 Biamonte became an invited member of the Foundational Questions Institute.[9][10]

References

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