Deterministic Dense Coding and Faithful Teleportation with Multipartite Graph States

We proposed novel schemes to perform the deterministic dense coding and faithful teleportation with multipartite graph states. We also find the sufficient and necessary condition of a viable graph state for the proposed scheme. That is, for the associated graph, the reduced adjacency matrix of the Tanner-type subgraph between senders and receivers should be invertible.Comment: 10 pages, 1 figure;v2. discussions improve

Detection of Symmetry Enriched Topological Phases

Topologically ordered systems in the presence of symmetries can exhibit new structures which are referred to as symmetry enriched topological (SET) phases. We introduce simple methods to detect the SET order directly from a complete set of topologically degenerate ground state wave functions. In particular, we first show how to directly determine the characteristic symmetry fractionalization of the quasiparticles from the reduced density matrix of the minimally entangled states. Second, we show how a simple generalization of a non-local order parameter can be measured to detect SETs. The usefulness of the proposed approached is demonstrated by examining two concrete model states which exhibit SET: (i) a spin-1 model on the honeycomb lattice and (ii) the resonating valence bond state on a kagome lattice. We conclude that the spin-1 model and the RVB state are in the same SET phases

Cross-cultural Differences in the Use of Disciplinary Methods among Chinese, Immigrant Chinese and English Mothers

Researchers have long studied parenting practices, and have recently paid increasing attention to cross-cultural differences. Unfortunately, most of the research has only examined self-report data; studies including both self-report and observational data are still very rare. This study examined the disciplinary methods of mothers (of 5- to 7-year-old children) in a cross-cultural sample (N = 89: 30 Chinese in Taiwan, 30 Chinese immigrants in the UK, and 29 non-immigrant white English in the UK) using both questionnaires and observational data. Cultural differences were found between groups both in reported, as well as observed parenting. The Taiwanese mothers reported greater use of Chinese-specific parenting methods as well as physical coercion and were observed to use more (gentle and assertive) physical intervention than the Chinese immigrant and English mothers. The Chinese immigrant mothers reported a higher degree of granting child autonomy than the Taiwanese and English mothers. These findings provided valuable insights into parenting in different cultural contexts, underscoring the importance of examining both reported and observed behaviour, in order to understand human development from a holistic perspective

Job satisfaction and organizational commitment among faculty at Taiwan\u27s higher education institutions

The purpose of the study was to determine faculty members\u27 level of job satisfaction and organizational commitment and to determine the relationship between job satisfaction and organizational commitment. Two types of satisfaction were surveyed: intrinsic and extrinsic factors. Three types of commitment were surveyed: affective, normative, and continuance commitment. This study was delimited to faculty members at five institutes of technology in the Mid-Taiwan area

FLAG : the fault-line analytic graph and fingerprint classification

Fingerprints can be classified into millions of groups by quantitative measurements of their new representations - Fault-Line Analytic Graphs (FLAG), which describe the relationship between ridge flows and singular points. This new model is highly mathematical, therefore, human interpretation can be reduced to a minimum and the time of identification can be significantly reduced. There are some well known features on fingerprints such as singular points, cores and deltas, which are global features which characterize the fingerprint pattern class, and minutiae which are the local features which characterize an individual fingerprint image. Singular points are more important than minutiae when classifying fingerprints because the geometric relationship among the singular points decide the type of fingerprints. When the number of fingerprint records becomes large, the current methods need to compare a large number of fingerprint candidates to identify a given fingerprint. This is the result of having a few synthetic types to classify a database with millions of fingerprints. It has been difficult to enlarge the minter of classification groups because there was no computational method to systematically describe the geometric relationship among singular points and ridge flows. In order to define a more efficient classification method, this dissertation also provides a systematic approach to detect singular points with almost pinpoint precision of 2x2 pixels using efficient algorithms