Michel Le Bellac
Universite de Nice, Sophia Antipolis
A Short Introduction to Quantum Information and Quantum
Computation
Hardback (ISBN-13: 9780521860567 | ISBN-10: 0521860563)
Quantum information and computation is a rapidly expanding and
cross-disciplinary subject. This book gives a self-contained
introduction to the field for physicists, mathematicians and
computer scientists who want to know more about this exciting
subject. After a step-by-step introduction to the quantum bit (qubit)
and its main properties, the author presents the necessary
background in quantum mechanics. The core of the subject, quantum
computation, is illustrated by a detailed treatment of three
quantum algorithms: Deutsch, Grover and Shor. The final chapters
are devoted to the physical implementation of quantum computers,
including the most recent aspects, such as superconducting qubits
and quantum dots, and to a short account of quantum information.
Written at a level suitable for undergraduates in physical
sciences, no previous knowledge of quantum mechanics is assumed,
and only elementary notions of physics are required. The book
includes many short exercises, with solutions available to
instructors through solutions@cambridge.org.
* Gently introduces the main concepts in a progressive and
accessible way ? Suitable for a broad audience, as no previous
knowledge of quantum mechanics is assumed ? Contains many short
exercises, with solutions available to instructors through
solutions@cambridge.org
Contents
1. Introduction; 2. What is a qubit?; 3. Manipulating qubits; 4.
Quantum correlations; 5. Introduction to quantum computing; 6.
Physical realizations; 7. Quantum information; References; Index.
James Anderson
University of South Carolina
Automata Theory with Modern Applications
Hardback (ISBN-13: 9780521848879 | ISBN-10: 0521848873)
Paperback (ISBN-13: 9780521613248 | ISBN-10: 0521613248)
Recent applications to biomolecular science and DNA computing
have created a new audience for automata theory and formal
languages. This is the only introductory book to cover such
applications. It begins with a clear and readily understood
exposition of the fundamentals that assumes only a background in
discrete mathematics. The first five chapters give a gentle but
rigorous coverage of basic ideas as well as topics not found in
other texts at this level, including codes, retracts and
semiretracts. Chapter 6 introduces combinatorics on words and
uses it to describe a visually inspired approach to languages.
The final chapter explains recently-developed language theory
coming from developments in bioscience and DNA computing. With
over 350 exercises (for which solutions are available), many
examples and illustrations, this text will make an ideal
contemporary introduction for students; others, new to the field,
will welcome it for self-learning.
* Especially clear and easily understood exposition of the basic
principles ? Sections devoted to contemporary applications and
research areas, including biomolecular science ? Lots of
exercises, examples and illustrations
Contents
1. Introduction; 2. Languages and codes; 3. Automata; 4.
Grammars; 5. Turing machines; 6. A visual approach to formal
languages; 7. From biopolymers to formal language theory;
Bibliography; Index.
D. F. Lawden
Analytical Methods of Optimization
ISBN: 0486450341
Page Count: 176
Dimensions: 5 3/8 x 8 1/2
Suitable for advanced undergraduates and graduate students, this
text surveys the classical theory of the calculus of variations.
It takes the approach most appropriate for applications to
problems of optimizing the behavior of engineering systems; in
particular, the design of the control systems and the choice of
rocket trajectories to be followed by terrestrial and
extraterrestrial vehicles. Topics include static systems, control
systems, additional constraints, the Hamilton-Jacobi equation,
and the accessory optimization problem. Emphasis throughout the
text is placed upon methods and principles, which are illustrated
by worked problems and sets of exercises. Solutions to the
exercises are available upon request. 1975 ed.
Table of Contents
1. Static Systems
2. Control Systems
3. Additional Constraints
4. Hamilton-Jacobi Equation
5. The Accessory Optimization Problem
Bibliography
Index
Lefebvre, Mario
Applied Probability and Statistics
2006, XVI, 360 p., 58 illus., Hardcover.
ISBN: 0-387-28454-0
About this textbook
This book moves systematically through the topic of applied
probability from an introductory chapter to such topics as random
variables and vectors, stochastic processes, estimation, testing
and regression. The topics are well chosen and the presentation
is enriched by many examples from real life. Each chapter
concludes with many original, solved and unsolved problems and
hundreds of multiple choice questions, enabling those unfamiliar
with the topics to master them. Additionally appealing are
historical notes on the mathematicians mentioned throughout, and
a useful bibliography. A distinguishing character of the book is
its thorough and succinct handling of the varied topics.
Written for:
Table of contents
Introduction.- Elementary Probabilities.- Random Variables.-
Random Vectors.- Stochastic Processes.- Estimation and Testing.-
Simple Linear Regression.- Appendices: Mathematical Formulas.-
Quantiles ? Sampling Distributions.- Classification of the
Exercises.- Answers ? Multiple Choice Questions.- Answers to
Selected Exercises.
Pham, Hoang (Ed.)
Springer Handbook of Engineering Statistics
2006, XLIV, 1120 p., 384 illus., 384 in colour, Hardcover.
ISBN: 1-85233-806-7
About this book
Engineers and practitioners contribute to society through their
ability to apply basic scientific principles to real problems in
an effective and efficient manner. They must collect data to test
their products every day as part of the design and testing
process and also after the product or process has been rolled out
to monitor its effectiveness. Model building, data collection,
data analysis and data interpretation form the core of sound
engineering practice.
After the data has been gathered the engineer must be able to
sift them and interpret them correctly so that meaning can be
exposed from a mass of undifferentiated numbers or facts. To do
this he or she must be familiar with the fundamental concepts of
correlation, uncertainty, variability and risk in the face of
uncertainty.
In today’s global and highly competitive environment,
continuous improvement in the processes and products of any field
of engineering is essential for survival. Many organisations have
shown that the first step to continuous improvement is to
integrate the widespread use of statistics and basic data
analysis into the manufacturing development process as well as
into the day-to-day business decisions taken in regard to
engineering processes.
The Springer Handbook of Engineering Statistics gathers together
the full range of statistical techniques required by engineers
from all fields to gain sensible statistical feedback on how
their processes or products are functioning and to give them
realistic predictions of how these could be improved.
Featuring:
Contributions from leading experts in statistics and their
application to engineering from industrial control to academic
medicine and financial risk management giving all-round
authoritative coverage.
Wide-ranging selection of statistical techniques showing the
proper way to use each to enable the reader to choose the method
most appropriate for his or her purposes.
Extensive and easy-to-use subject index making information
quickly available to the reader.
The handbook will be essential reading for all engineers and
engineering-connected managers who are serious about keeping
their methods and products at the cutting edge of quality and
competitiveness.
Written for:
Libraries; practitioners involved in many branches of engineering
particularly: process engineering, management and planning,
modelling and simulation, reliability, bioengineering, control,
safety (especially aeronautical and automotive) information
system security; academics researching or lecturing in similar
subjects
Contents