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Modern Optics And Photonics: Atoms And Structured Media
This volume is based on the works presented at the conference “Modern Problems in Optics and Photonics-2009”, held in Yerevan Armenia. Covering virtually all actual themes in Optics: Structured media and quantum nanostructures, Quantum optics and quantum information, Spectroscopy and dynamics of atoms, both theoretical and experimental worksare examined and discussed extensively. This volume would capture the interest of experienced scientists as important, original results of 27 leading researchers from Armenia, Australia, Germany, Greece, India, Latvia, Russia, Singapore and United Kingdom are included. Surely, this volume could serve as an advanced textbook for graduate and undergraduate students as it contains not only the original works of prominent authors, but also detailed introductions and descriptions of early results of the presented branches of the optics.
Quantum Processes Systems, and Information
A new and exciting approach to the basics of quantum theory, this undergraduate textbook contains extensive discussions of conceptual puzzles and over 800 exercises and problems. Beginning with three elementary 'qubit' systems, the book develops the formalism of quantum theory, addresses questions of measurement and distinguishability, and explores the dynamics of quantum systems. In addition to the standard topics covered in other textbooks, it also covers communication and measurement, quantum entanglement, entropy and thermodynamics, and quantum information processing. This textbook gives a broad view of quantum theory by emphasizing dynamical evolution, and exploring conceptual and foundational issues. It focuses on contemporary topics, including measurement, time evolution, open systems, quantum entanglement, and the role of information.
Introduction to Optical Quantum Information Processing
Quantum information processing offers fundamental improvements over classical information processing, such as computing power, secure communication, and high-precision measurements. However, the best way to create practical devices is not yet known. This textbook describes the techniques that are likely to be used in implementing optical quantum information processors. After developing the fundamental concepts in quantum optics and quantum information theory, the book shows how optical systems can be used to build quantum computers according to the most recent ideas. It discusses implementations based on single photons and linear optics, optically controlled atoms and solid-state systems, atomic ensembles, and optical continuous variables. This book is ideal for graduate students beginning research in optical quantum information processing. It presents the most important techniques of the field using worked examples and over 120 exercises.
Modern Optics and Photonics
Ligt propagation : from atomic to nuclear quantum optics / J. Evers [und weitere] -- Relativistic high-order harmonic generation / M.C. Kohler and K.Z. Hatsagortsyan -- Entangled light and matter waves via non-linear interactions / M. Macovei, G. Yu. Kryuchkyan and G.-X. Li -- Irreversible photon transfer in an ensemble of [symbol]-type atoms and photon diode / G. Nikoghosyan and M. Fleischhauer -- Dissipative chaos in quantum distributions / T.V. Gevorgyan [und weitere] -- Frequency chirped laser pulses in atomic physics : coherent control of inner and translational quantum states / G.P. Djotyan [und weitere] -- Strongly correlated quantum dynamics of multimode light coupled to a two-level ...
Cognitive Phase Transitions in the Cerebral Cortex - Enhancing the Neuron Doctrine by Modeling Neural Fields
This intriguing book was born out of the many discussions the authors had in the past 10 years about the role of scale-free structure and dynamics in producing intelligent behavior in brains. The microscopic dynamics of neural networks is well described by the prevailing paradigm based in a narrow interpretation of the neuron doctrine. This book broadens the doctrine by incorporating the dynamics of neural fields, as first revealed by modeling with differential equations (K-sets). The book broadens that approach by application of random graph theory (neuropercolation). The book concludes with diverse commentaries that exemplify the wide range of mathematical/conceptual approaches to neural fields. This book is intended for researchers, postdocs, and graduate students, who see the limitations of network theory and seek a beachhead from which to embark on mesoscopic and macroscopic neurodynamics.
Ultrafast Dynamics In Molecules, Nanostructures And Interfaces - Selected Lectures Presented At Symposium On Ultrafast Dynamics Of The 7th International Conference On Materials For Advanced Technologies
Primary events in natural systems or devices occur on extremely short time scales, and yet determine in many cases the final performance or output. For this reason research in ultrafast science is of primary importance and impact in both fundamental research as well as its applications. This book reviews the advances in the field, addressing timely and open questions such as the role of quantum coherence in biology, the role of excess energy in electron injection at photovoltaic interfaces or the dynamics in quantum confined structures (e.g. multi carrier generation). The approach is that of a monograph, with a broad tutorial introduction and an overview of the recent results. This volume includes selected lectures presented at Symposium on Ultrafast Dynamics of the 7th International Conference on Materials for Advanced Technologies.
Stochastic Models, Information Theory, and Lie Groups, Volume 2
This unique two-volume set presents the subjects of stochastic processes, information theory, and Lie groups in a unified setting, thereby building bridges between fields that are rarely studied by the same people. Unlike the many excellent formal treatments available for each of these subjects individually, the emphasis in both of these volumes is on the use of stochastic, geometric, and group-theoretic concepts in the modeling of physical phenomena. Stochastic Models, Information Theory, and Lie Groups will be of interest to advanced undergraduate and graduate students, researchers, and practitioners working in applied mathematics, the physical sciences, and engineering. Extensive exercises, motivating examples, and real-world applications make the work suitable as a textbook for use in courses that emphasize applied stochastic processes or differential geometry.
