Kód: 46145479

A First Introduction to Quantum Computing and Information

Name: A First Introduction to Quantum Computing and Information
Brand: Springer, Berlin
SKU: 46145479
Price: 1155.00 CZK
Availability: InStock
Author: Bernard Zygelman
ISBN: 9783031664243

Autor Bernard Zygelman

This textbook addresses and introduces new developments in the field of quantum information and computing (QIC) for a primary audience of undergraduate students.Developments over the past few decades have spurred the need for QIC ... celý popis

Jazyk: Angličtina
Vazba: Brožovaná
Počet stran: 280
Nakladatelství: Springer, Berlin, 2024
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This textbook addresses and introduces new developments in the field of quantum information and computing (QIC) for a primary audience of undergraduate students.

Developments over the past few decades have spurred the need for QIC courseware at major research institutions. To address this, the present 2nd edition of a highly accessible textbook/reference broadens the exposure of QIC science for the undergraduate market. The subject matter is introduced in such a way so that it is accessible to students with only a first-year calculus background. Greater accessibility allows a broader range of academic offerings.

Topics and features:

Introduces beginning undergraduate students to quantum theory and developments in QIC, without exposure to upper-level physics and mathematics
Contains a new chapter on Adiabatic Quantum Computing
Integrates Mathematica-based software examples and projects, which offers a "hands-on" experience and facilitates navigation of difficult abstract concepts
Offers helpful links to additional exercises, problems, and solution manuals
Facilitates a more holistic approach to the teaching of difficult concepts, incorporating symbolic manipulation software
Provides new material on Quantum Error Correction
Allows a broad-range of course offerings spanning physics, engineering, math and computer science

This unique introductory textbook can serve courses offered in university physics, engineering, math, and definitely computer science departments. Use of Mathematica software allows a fast learning curve for students who have limited experience with scientific programming.