Necessity for quantum coherence of nondegeneracy in energy flow

In this work, we show that the quantum coherence among non-degenerate energy subspaces (CANES) is essential for the energy flow in any quantum system. CANES satisfies almost all of the requirements as a coherence measure, except that the coherence within degenerate subspaces is explicitly eliminated.We show that the energy of a system becomes frozen if and only if the corresponding CANES vanishes, which is true regardless of the form of interaction with the environment. However, CANES can remain zero even if the entanglement changes over time. Furthermore, we show how the power of energy flow is bounded by the value of CANES. An explicit relation connecting the variation of energy and CANES is also presented. These results allow us to bound the generation of system-environment correlation through the local measurement of the system's energy flow

Not Legally Recognised, but….

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Smell Phishy : A 2d Platform Game For Phishing Awareness

This project is discussing development of the Smell Phishy : 2d platform game for phishing awareness which can be played using a computer or laptop with keyboard and mouse. The problem statement of the project is that many methods to teach phishing awareness are inefficient. So, the 2D platform game can become an interesting way and can let players involve themselves inside the game. The 2D platform game can bring advantages which can have an interaction with the player. This can let players understand the importance of phishing awareness with fun and ease. The objective of this project is to study the technology behind the implementation of a 2D platform game, to design and develop a 2D platform game for phishing awareness, and to evaluate the functionality of the developed 2D platform game for the phishing awareness. The methodology selected is Rapid Application Development. The game was developed by using Unity and Visual Studio Code. There are 20 responses to the User Acceptance Test and most of them think the game is good but still need to improve

The Role of Semantic Parsing in Understanding Procedural Text

In this paper, we investigate whether symbolic semantic representations, extracted from deep semantic parsers, can help reasoning over the states of involved entities in a procedural text. We consider a deep semantic parser~(TRIPS) and semantic role labeling as two sources of semantic parsing knowledge. First, we propose PROPOLIS, a symbolic parsing-based procedural reasoning framework. Second, we integrate semantic parsing information into state-of-the-art neural models to conduct procedural reasoning. Our experiments indicate that explicitly incorporating such semantic knowledge improves procedural understanding. This paper presents new metrics for evaluating procedural reasoning tasks that clarify the challenges and identify differences among neural, symbolic, and integrated models.Comment: 9 pages, Appected in EACL202