The exact reconstruction of many-body quantum systems is one the major challenges in modern physics, because it impractical to overcome exponential complexity problem brought by high-dimensional systems. Recently, machine learning techniques are well used promote information research and state tomography has also been developed neural network generative models. We propose a method, which based ...

This paper developed a method to assess information security risks in e-healthcare. Specifically, it first developed a static E-Healthcare Information Security Risk (EHISR) model to present thirty-three security risk factors by identifying information security threats and their sources in e-healthcare. Second, a dynamic E-Healthcare Information Flow (EHIF) model was developed to logically link ...

Information-flow analysis has largely ignored the setting where the analyst has neither control over nor a complete model of the analyzed system. We formalize such limited information flow investigations and study it in three domains: (1) the determination of what third-party web trackers do with the information they collect, (2) the identification of copyright violators, and (3) the detection ...

Abstract. The information flow problem on a network asks whether r senders, v1, v2, . . . , vr can each send messages to r corresponding receivers vn+1, . . . , vn+r via intermediate nodes vr+1, . . . , vn. For a given finite R ⊂ Z, the clock network Nn(R) has edge vivk if and only if k > r and k−i ∈ R. We show that the information flow problem on Nn({1, 2, . . . , r}) can be solved for all n ≥...