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Everyone
| DATE | 2021-12-13 | 
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| TIME | 12:10-13:10 | 
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| PLACE | R36169, 1F, Dept. of Physics, Building of Science College, NCKU | 
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| FIELD | Quantum Information Science | 
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| SPEAKER | Prof. Matthew M. Lin(林敏雄) - Dept. of Math., NCKU | 
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| TITLE | Low Rank Approximation of Entangled Bipartite Systems | 
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| ABSTRACT | Gauging the distance between a mixed state and its nearest separable state is important but challenging in the quantum mechanical system. We, in this talk, propose a dynamical system approach to tackle low rank approximation of entangled bipartite systems, which has several advantages, including 1) A gradient dynamics in the complex space can be described in a fairly concise way; 2) The global convergence from any starting point to a local solution is guaranteed; 3) The requirement that the combination coefficients of pure states must be a probability distribution can be ensured; 4) The rank can be dynamically adjusted. The theory, algorithms, and some numerical experiments will be presented in this talk. References [1] M. T. Chu and M. M. Lin, A Complex-Valued Gradient Flow for the Entangled Bipartite Low Rank Approximation, Computer Physics Communications, accepted 2021. | 
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