Matrix scaling is a classical problem with a wide range of applications. It is known that the Sinkhorn algorithm for matrix scaling is interpreted as alternating e-projections from the viewpoint of classical information geometry. Recently, a generalization of matrix scaling to completely positive maps called operator scaling has been found to appear in various fields of mathematics and computer science, and the Sinkhorn algorithm has been extended to operator scaling. In this study, the operator Sinkhorn algorithm is studied from the viewpoint of quantum information geometry through the Choi representation of completely positive maps. The operator Sinkhorn algorithm is shown to coincide with alternating e-projections with respect to the symmetric logarithmic derivative metric, which is a Riemannian metric on the space of quantum states relevant to quantum estimation theory. Other types of alternating e-projections algorithms are also provided by using different information geometric structures on the positive definite cone.
翻译:矩阵缩放是一个具有广泛应用的经典问题。 众所周知, 矩阵缩放的Sinkhorn算法被解释为从古典信息几何学的角度对电子预测进行交替。 最近, 数学和计算机科学的各个领域发现将矩阵缩放普遍化为完全积极的地图,称为操作员缩放,Sinkhorn算法扩大到操作员的缩放。 在这项研究中, 操作员Sinkhorn算法通过完全正向地图的Choi表示从量度信息几何学角度进行了研究。 操作员Sinkhorn算法显示, 与对称对数衍生物指标(这是关于与量度估计理论相关的量度空间的里曼度指标)的交替电子预测相吻合。 其它类型的电子互换预测算法也通过使用对正正直角的不同信息几何结构来提供。