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Książka A First Introduction to Quantum Computing and Information Bernard Zygelman

A First Introduction to Quantum Computing and Information

Autor: Bernard Zygelman
Język: Angielski
Oprawa: Miękka
Wydawca: Springer, Berlin
Dostępność: Dostępna u dostawcy
Wysyłamy za 5-8 dni
208.69 zł
This textbook addresses and introduces new developments in the field of quantum information and comp...

Informacje o książce

Autor
Bernard Zygelman
Język
Angielski
Oprawa
Książka - Miękka
Data wydania
2024
strony
280
EAN
9783031664243
Enbook ID
46145479
Wydawca
Springer, Berlin
Waga
472
Wymiary
155 x 235

Pełny opis

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.

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