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Vladimir Korepin

Vladimir Korepin

Professor
C. N. Yang Institute of Theoretical Physics of the Stony Brook University
Canada

Biography

Accomplished undergraduate study in Sankt Petersburg State University. In 1974 graduated from the University with the diploma in theoretical physics. In 1974 was em- ployed by the Mathematical Institute of Academy of Sciences of Rus- sia. Accomplished his graduate and Post Doctoral studies in this Institute. He worked in this Institute until 1989. Currently, he is a full professor with tenure in the Yang Institute for Theoretical Physics of State University of New York at Stony Brook. PI obtained Ph.D. degree in mathematical physics in 1977 from Mathematical Institute of the Academy of Sciences of the Russia in Moscow. His Ph. D adviser was L.D. Faddeev. In 1985 was awarded the degree of doc- tor of sciences in mathematical physics by the Council of Ministers of Russian Federation. In 1978 his paper 'Quantum Solitons' was recognized as the best paper of the year by Russian Academy of Sci- ences. PI published about 265 papers in theoretical and mathematical physics. Currently works on quantum entanglement. He also have re- sults important for mathematics: In 1982 he introduced domain wall boundary conditions for six vertex model, which played a major role in algebraic combinatorics [Alternating Sign Matrices, domino tiling, Young diagrams].
He was elected fellow of American Physical Society in 1996.
He was elected fellow of International Association of Mathematical Physics in 1993.
He was elected fellow of of the Institute of Physics in 19998.
He is an Editor journals: Quantum Information Processing and Reviews in Mathematical Physics.

Research Interest

Izergin-Korepin model
Six vertex model with domain wall boundary conditions was first introduced by Korepin in 1982
Quantum Field Theory
Quantum inverse scattering method
Vertex models of statistical mechanics
Correlation functions in exactly solvable models
Fermi Hubbard model in one dimension
Quantum entanglement
Quantum search algorithms