You may have to Search all our reviewed books and magazines, click the sign up button below to create a free account.
Most human beings don’t manage to achieve fame. Roy J. Glauber did so for two different reasons. Glauber was not only a Nobel-Prize winning physicist, but also one of the last surviving scientists who worked in Los Alamos in the Theoretical Division of the Manhattan Project. He was a witness to all the events and knew all the scientists associated with the creation and launch of the first atomic bombs. This book is the product of a series of long interviews held with Roy over three years: in Benasque (Spain) in 2011, and later in Singapore and Cambridge (USA). Its pages give a first-hand account of a true protagonist, one who is independent, lucid, sagacious and committed to the truth. The...
A summary of the pioneering work of Glauber in the field of optical coherence phenomena and photon statistics, this book describes the fundamental ideas of modern quantum optics and photonics in a tutorial style. It is thus not only intended as a reference for researchers in the field, but also to give graduate students an insight into the basic theories of the field. Written by the Nobel Laureate himself, the concepts described in this book have formed the basis for three further Nobel Prizes in Physics within the last decade.
This volume contains invited and contributed papers delivered at a symposium on the occasion of Professor Glauber's 60th birthday. The papers, many of which are authored by world leaders in their fields, contain recent research work in quantum optics, statistical mechanics and high energy physics related to the pioneering work of Professor Roy Glauber; most contain original research material that is previously unpublished. The concepts of coherence, cooperativity and fluctuations in systems with many degrees of freedom are a common base for all of Professor Glauber's research initiatives and, in fact, for much of contemporary physics. His role in shaping these cconcepts is reflected and honoured in the papers contained in this book.
This collection of papers written by leading researchers reflects the forefront of research in the dynamic field of quantum optics. Topics covered include BEC, atomic optics, quantum information, cavity QED and quantum noise processes. This volume forms an indispensable reference source for all those who want to keep up with the latest developments in this area.
Understanding cooperative phenomena far from equilibrium is one of the fascinating challenges of present-day many-body physics. Glassy behaviour and the physical ageing process of such materials are paradigmatic examples. The present volume, primarily intended as introduction and reference, collects six extensive lectures addressing selected experimental and theoretical issues in the field of glassy systems.
Viereinhalb Jahre lang reiste der Berliner Fotograf Peter Badge um die Welt und traf alle 260 noch lebenden Nobelpreisträger. Das Resultat dieses einmaligen Projekts ist ein beeindruckender Bildband mit schlichten Schwarzweiß-Porträts, ergänzt durch die jeweilige Kurzbiographie.
Follow a time line of physics history and one thing becomes readily apparent - many of this century's major milestones were first documented in the pages of "The Physical Review." Now the most important of this research is brought together in this landmark book and CD-ROM package. Along with the celebrated work of luminaries such as Langmuir, Bohr, Wheeler, Feynman, this volume brings to light more obscure, though no less critical research. Together with papers from Physical Review Letters, this unique work puts more than 1,000 papers at your fingertips.
Tensor network is a fundamental mathematical tool with a huge range of applications in physics, such as condensed matter physics, statistic physics, high energy physics, and quantum information sciences. This open access book aims to explain the tensor network contraction approaches in a systematic way, from the basic definitions to the important applications. This book is also useful to those who apply tensor networks in areas beyond physics, such as machine learning and the big-data analysis. Tensor network originates from the numerical renormalization group approach proposed by K. G. Wilson in 1975. Through a rapid development in the last two decades, tensor network has become a powerful ...