Home | Amazing | Today | Tags | Publishers | Years | Account | Search 
Quantum Information And Computing (Quantum Probability and White Noise Analysis)

Buy
This volume constitutes the proceedings of the international conference on "Quantum Information 2003" held in Tokyo University of Science/Tokyo (Japan) from 1 to 3 November 2003, in International Institute for Advanced Studies/Kyoto (Japan) from 5 to 7 November 2003, in University of Waseda/Tokyo (Japan) from 29 to 31 October 2003, in Meijo University/ Nagoya (Japan) from 8 to 9 November 2003. These meetings were organized by the Embassy of Italy in Japan in collaboration with Tokyo University of Science (Tokyo), University of Roma II, International Institute for Advanced Studies, Meijo University (Nagoya) and University of Waseda (Tokyo). We very much appreciate the financial support of the Embassy of Italy in Japan, the Frontier Research Center for Computational Sciences of the Tokyo University of Science, International Institute for Advanced Studies and the universities of Waseda and Meijo.

A study of quantum information has been developed extensively in both sides of the foundation and application in the various fields, but it becomes more and more important but difficult to catch the whole aspects of these fields. In order to understand the latest research of quantum information and to find a future orientation of quantum information, the International Conference entited "Quantum information: mathematical, physical engineering and industrial aspects" was organized by inviting researcheres from mainly Europe and Japan who are actively working on each side of the foundation and application of quantum information. The main purpose of this volume is to emphasize the multidisciplinary aspects in this new and very active field in which concrete technological realizations require the combined efforts of experimental and theoretical physicists, mathematicians and engineers.
(HTML tags aren't allowed.)

Introduction to Parallel Computing (Oxford Texts in Applied and Engineering Mathematics)
Introduction to Parallel Computing (Oxford Texts in Applied and Engineering Mathematics)
In the last few years, courses on parallel computation have been developed and offered in many institutions in the UK, Europe and US as a recognition of the growing significance of this topic in mathematics and computer science. There is a clear need for texts that meet the needs of students and lecturers and this book, based on the author's...
Algorithms and Parallel Computing (Wiley Series on Parallel and Distributed Computing)
Algorithms and Parallel Computing (Wiley Series on Parallel and Distributed Computing)

There is a software gap between hardware potential and the performance that can be attained using today ’ s software parallel program development tools. The tools need manual intervention by the programmer to parallelize the code. This book is intended to give the programmer the techniques necessary to explore parallelism in...

Learning scikit-learn: Machine Learning in Python
Learning scikit-learn: Machine Learning in Python

Incorporating machine learning in your applications is becoming essential. As a programmer this book is the ideal introduction to scikit-learn for your Python environment, taking your skills to a whole new level.

Overview

  • Use Python and scikit-learn to create intelligent applications
  • Apply...

Scientific Computing with Python 3
Scientific Computing with Python 3

Key Features

  • Your ultimate resource for getting up and running with Python numerical computations
  • Explore numerical computing and mathematical libraries using Python 3.x code with SciPy and NumPy modules
  • A hands-on guide to implementing mathematics with Python, with complete...
Mastering Machine Learning Algorithms: Expert techniques to implement popular machine learning algorithms and fine-tune your models
Mastering Machine Learning Algorithms: Expert techniques to implement popular machine learning algorithms and fine-tune your models

Explore and master the most important algorithms for solving complex machine learning problems.

Key Features

  • Discover high-performing machine learning algorithms and understand how they work in depth
  • One-stop solution to mastering supervised, unsupervised, and...
Cyber-Physical Systems: Advances in Design & Modelling (Studies in Systems, Decision and Control)
Cyber-Physical Systems: Advances in Design & Modelling (Studies in Systems, Decision and Control)
This book presents new findings on cyber-physical systems design and modelling approaches based on AI and data-driven techniques, identifying the key industrial challenges and the main features of design and modelling processes. To enhance the efficiency of the design process, it proposes new approaches based on the concept of digital twins....
©2019 LearnIT (support@pdfchm.net) - Privacy Policy