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Item #:
86109811
Introduction to Quantum Computing: From a Layperson to a Programmer in 30 Steps
85% of respondents would recommend this to a friend
Item #:
86109811
GYD 13936
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Readers will be able to write their program to simulate quantum computing algorithms and run on real quantum computers on IBM-Q.
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What Stands Out
Structured Learning
This book offers a clear, step-by-step approach that transforms complex quantum computing concepts into digestible lessons, making it accessible for beginners and aspiring programmers alike.
Updated Content
The second edition features the latest advancements in quantum computing, ensuring readers gain up-to-date knowledge and skills needed to navigate this rapidly evolving field effectively.
Practical Exercises
Incorporating hands-on coding exercises, this book allows readers to apply theoretical concepts in practical scenarios, enhancing learning and preparing them for real-world quantum programming challenges.
Product Details
- This textbook introduces quantum computing to readers who do not have much background in linear algebra based on the self-study experience of the author as an engineer. The author targets undergraduate and master students who are willing to spend about 60 -90 hours seriously learning quantum computing. This book is also suitable for self-study and teaching videos for each chapter and more than 200 exercises with answers are provided. Readers will be able to write their program to simulate quantum computing algorithms and run on real quantum computers on IBM-Q. Moreover, unlike books that only give superficial, “hand-waving” explanations, this book uses exact formalism so readers can continue to pursue more advanced topics based on what they learn from this book
| Publisher | Springer |
| Publication date | September 8, 2023 |
| Edition | Second Edition 2024 |
| Language | English |
| Print length | 376 pages |
| ISBN-10 | 303136984X |
| ISBN-13 | 978-3031369841 |
| Item Weight | 1.56 pounds (710 grams) |
| Dimensions | 6.14 x 0.88 x 9.21 inches (15.6 x 2.2 x 23.4 cm) |
Who Should Buy?
-
Aspiring Programmers
Ideal for individuals looking to transition into quantum computing programming with structured learning steps and practical examples.
-
Curious Learners
Perfect for those with limited technical background interested in understanding the basics of quantum computing concepts.
-
Educators and Trainers
Beneficial for teachers seeking a comprehensive resource to introduce quantum computing concepts to students effectively.
-
Advanced Experts
Not suitable for professionals already proficient in quantum computing; lacks advanced topics and detailed technical depth.
Product Description
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Embedded Systems Editorial Review
Introduction to Quantum Computing: From a Layperson to a Programmer in 30 Steps is an excellent resource for those looking to dive into the world of quantum computing. This book offers a well-organized structure with small, focused chapters that make it accessible even for those with rusty mathematics skills. The inclusion of online links to lectures enhances the learning experience, providing readers with the opportunity to engage with the course material more deeply. Many users have praised the clear explanations and the meaningful exercises throughout the book. Moreover, supplementary lectures available on YouTube serve as a valuable aid for readers who need extra clarification on complex topics.
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Pros
- Clear explanations enhance understanding of quantum concepts
- Well-organized chapters facilitate focused learning
- Includes links to online lectures for deeper engagement
- Meaningful exercises reinforce key ideas
- Accessible for readers with varied math backgrounds
Cons
- Navigating online lectures can be a bit confusing
Product Price History
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GYD 13936
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Features & Benefits
- Designed for beginners with minimal linear algebra background.
- Ideal for undergraduate and master's students willing to commit time.
- Includes teaching videos and over 200 exercises with answers.
- Enables practical programming skills in quantum computing.
- Utilizes exact formalism for deeper understanding of the subject.
- Supports self-study or structured learning environments.
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