图 书 馆
密度矩阵的贝叶斯概率演算A Bayesian Probability Calculus for Density Matrices |
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| 课程网址: | http://videolectures.net/mlss06tw_warmuth_bpcdm/ |
| 主讲教师: | Manfred K. Warmuth |
| 开课单位: | 加州大学圣克鲁兹分校 |
| 开课时间: | 2007-02-25 |
| 课程语种: | 英语 |
| 中文简介: |  |
| 课程简介: | One of the main concepts in quantum physics is a density matrix, which is a symmetric positive definite matrix of trace one. Finite probability distributions can be seen as a special case when the density matrix is restricted to be diagonal. We develop a probability calculus based on these more general distributions that includes definitions of joints conditionals and formulas that relate these, including analogs of the Theorem of Total Probability and various Bayes rules for the calculation of posterior density matrices. The resulting calculus parallels the familiar ``conventional probability calculus and always retains the latter as a special case when all matrices are diagonal. |
| 关 键 词: | 密度矩阵; 有限概率分布; 常规概率微积分 |
| 课程来源: | 视频讲座网 |
| 最后编审: | 2019-07-16：cjy |
| 阅读次数: | 69 |