Quantum Computing: An Applied Approach
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HKD 218
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Quantum Computing will change our world in unexpected ways. Everything technology leaders, engineers and graduate students need is in this book including the methods and hands-on code to program on this novel platform.
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產品詳情
- Integrates quantum computing foundations with a hands-on coding approach
- Suitable for academic coursework and corporate technical training
- Comprises three books in one covering necessary foundations, quantum computing algorithms, and mathematical toolkit
- Includes a table of operators and circuit elements as additional resources
- Companion GitHub site provides code and updates
- Authored by Jack D. Hidary, a research scientist in quantum computing and AI at Alphabet X, formerly Google X
| Publisher | Springer |
| Publication date | September 20, 2019 |
| Edition | 1st ed. 2019 |
| Language | English |
| Print length | 398 pages |
| ISBN-10 | 3030239217 |
| ISBN-13 | 978-3030239213 |
| Item Weight | 2.05 pounds (930 grams) |
| Dimensions | 6.25 x 1 x 9.25 inches (15.9 x 2.5 x 23.5 cm) |
Who Should Buy?
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Students and Educators
Ideal for students and educators seeking a practical introduction to quantum computing concepts and applications.
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Industry Professionals
Beneficial for professionals in tech sectors wanting to integrate quantum computing into their projects and strategies.
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Researchers
Useful for researchers aiming to explore quantum algorithms and applications in a structured, hands-on manner.
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Beginners without Background
Not suitable for complete beginners who lack foundational knowledge in computing or mathematics prior to studying quantum concepts.
產品敘述
Quantum Computing: An Applied Approach
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Quantum Theory Editorial Review
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HKD 218
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特色和優勢
- Integrates foundations of quantum computing with a hands-on coding approach
- Suitable for academic coursework and corporate technical training
- Comprises three books in one cover
- Covers necessary foundations, quantum computing algorithms, and mathematical toolkit
- Additional resources provided include a table of operators and circuit elements, and a companion GitHub site for code and updates
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