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Introduction to Quantum Algorithms
 
Johannes A. Buchmann Technical University of Darmstadt, Darmstadt, Germany
Softcover ISBN:  978-1-4704-7398-3
Product Code:  AMSTEXT/64
List Price: $89.00
MAA Member Price: $80.10
AMS Member Price: $71.20
eBook ISBN:  978-1-4704-7652-6
Product Code:  AMSTEXT/64.E
List Price: $85.00
MAA Member Price: $76.50
AMS Member Price: $68.00
Softcover ISBN:  978-1-4704-7398-3
eBook: ISBN:  978-1-4704-7652-6
Product Code:  AMSTEXT/64.B
List Price: $174.00 $131.50
MAA Member Price: $156.60 $118.35
AMS Member Price: $139.20 $105.20
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Introduction to Quantum Algorithms
Johannes A. Buchmann Technical University of Darmstadt, Darmstadt, Germany
Softcover ISBN:  978-1-4704-7398-3
Product Code:  AMSTEXT/64
List Price: $89.00
MAA Member Price: $80.10
AMS Member Price: $71.20
eBook ISBN:  978-1-4704-7652-6
Product Code:  AMSTEXT/64.E
List Price: $85.00
MAA Member Price: $76.50
AMS Member Price: $68.00
Softcover ISBN:  978-1-4704-7398-3
eBook ISBN:  978-1-4704-7652-6
Product Code:  AMSTEXT/64.B
List Price: $174.00 $131.50
MAA Member Price: $156.60 $118.35
AMS Member Price: $139.20 $105.20
  • Book Details
     
     
    Pure and Applied Undergraduate Texts
    Volume: 642024; 371 pp
    MSC: Primary 11; 68; 81; 94

    Quantum algorithms are among the most important, interesting, and promising innovations in information and communication technology. They pose a major threat to today's cybersecurity and at the same time promise great benefits by potentially solving previously intractable computational problems with reasonable effort. The theory of quantum algorithms is based on advanced concepts from computer science, mathematics, and physics.

    Introduction to Quantum Algorithms offers a mathematically precise exploration of these concepts, accessible to those with a basic mathematical university education, while also catering to more experienced readers. This comprehensive book is suitable for self-study or as a textbook for one- or two-semester introductory courses on quantum computing algorithms. Instructors can tailor their approach to emphasize theoretical understanding and proofs or practical applications of quantum algorithms, depending on the course's goals and timeframe.

    Readership

    Undergraduate and graduate students and researchers interested in learning the foundations of quantum computing.

  • Table of Contents
     
     
    • Classical computation
    • Hilbert spaces
    • Quantum mechanics
    • The theory of quantum algorithms
    • The algorithms of Deutsch and Simon
    • The algorithms of Shor
    • Quantum search and quantum counting
    • The HHL algorithm
    • Foundations
    • Linear algebra
    • Probability theory
    • Solutions of selected exercises
    • Bibliography
    • Index
  • Additional Material
     
     
  • Requests
     
     
    Review Copy – for publishers of book reviews
    Desk Copy – for instructors who have adopted an AMS textbook for a course
    Examination Copy – for faculty considering an AMS textbook for a course
    Accessibility – to request an alternate format of an AMS title
Volume: 642024; 371 pp
MSC: Primary 11; 68; 81; 94

Quantum algorithms are among the most important, interesting, and promising innovations in information and communication technology. They pose a major threat to today's cybersecurity and at the same time promise great benefits by potentially solving previously intractable computational problems with reasonable effort. The theory of quantum algorithms is based on advanced concepts from computer science, mathematics, and physics.

Introduction to Quantum Algorithms offers a mathematically precise exploration of these concepts, accessible to those with a basic mathematical university education, while also catering to more experienced readers. This comprehensive book is suitable for self-study or as a textbook for one- or two-semester introductory courses on quantum computing algorithms. Instructors can tailor their approach to emphasize theoretical understanding and proofs or practical applications of quantum algorithms, depending on the course's goals and timeframe.

Readership

Undergraduate and graduate students and researchers interested in learning the foundations of quantum computing.

  • Classical computation
  • Hilbert spaces
  • Quantum mechanics
  • The theory of quantum algorithms
  • The algorithms of Deutsch and Simon
  • The algorithms of Shor
  • Quantum search and quantum counting
  • The HHL algorithm
  • Foundations
  • Linear algebra
  • Probability theory
  • Solutions of selected exercises
  • Bibliography
  • Index
Review Copy – for publishers of book reviews
Desk Copy – for instructors who have adopted an AMS textbook for a course
Examination Copy – for faculty considering an AMS textbook for a course
Accessibility – to request an alternate format of an AMS title
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