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DATE | 2021-12-13 |

TIME | 12:10 |

PLACE | 理學教學新大樓物理系1F 36169會議室 |

FIELD | Quantum Information Science |

SPEAKER | Prof. Matthew M. Lin(林敏雄) - 成功大學數學系 |

TITLE | Low Rank Approximation of Entangled Bipartite Systems |

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. |