Quantum process tomography is often used to completely characterize an unknown quantum process. However, it may lead to an unphysical process matrix, which will cause the loss of information with ...

According to the latest information from the National Intellectual Property Administration, Hangzhou Dianzi University and Hangzhou Bashi Space Artificial Intelligence Information Technology Co., Ltd.

The goal of this course is to investigate in-depth and to develop expert knowledge in the theory and algorithms for convex optimization. This course will provide a rigorous introduction to the rich ...

This course discusses basic convex analysis (convex sets, functions, and optimization problems), optimization theory (linear, quadratic, semidefinite, and geometric programming; optimality conditions ...

where \(\mathsf{G}(\cdot)\) is some convex operator and \(\mathcal{F}\) is as set of feasible input distributions. Examples of such an optimization problem include finding capacity in information ...

Mathematics of Operations Research, Vol. 42, No. 3 (August 2017), pp. 662-691 (30 pages) Recently, in He et al. [He BS, Tao M, Yuan XM (2012) Alternating direction method with Gaussian back ...

In this paper we consider ambiguous stochastic constraints under partial information consisting of means and dispersion measures of the underlying random parameters. Whereas the past literature used ...