Quantum Computing: An Applied Approach
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Fulfillment optionsQuantum Computing
This book integrates the foundations of quantum computing with a hands-on coding approach to this emerging field; it is the first to bring these elements together in an updated manner. This work is suitable for both academic coursework and corporate technical training.
The second edition includes extensive updates and revisions, both to textual content and to the code. Sections have been added on quantum machine learning, quantum error correction, Dirac notation and more. This new edition benefits from the input of the many faculty, students, corporate engineering teams, and independent readers who have used the first edition.
This volume comprises three books under one cover: Part I outlines the necessary foundations of quantum computing and quantum circuits. Part II walks through the canon of quantum computing algorithms and provides code on a range of quantum computing methods in current use. Part III covers the mathematical toolkit required to master quantum computing. Additional resources include a table of operators and circuit elements and a companion GitHub site providing code and updates.
Jack D. Hidary is a research scientist in quantum computing and in AI at Alphabet X, formerly Google X.
The book, Quantum Computing: An Applied Approach [Bulk, Wholesale, Quantity] ISBN#9783030832735 in Hardcover by Jack D. Hidary may be ordered in bulk quantities. Minimum starts at 25 copies. Availability based on publisher status and quantity being ordered.
Details
- Publisher
- Springer International Publishing
- Author
- Jack D. Hidary
- Format
- Hardcover
- Published
- Nov 3, 2021
- ISBN-13
- 9783030832735
- Pages
- 422
- Printing
- Printed on demand
Quantum Computing in bulk: pricing
Volume pricing applies automatically in your cart. No codes, no account needed.
| Copies | Price per copy | You save |
|---|---|---|
| 25 – 99 | $31.49 | 30% off list |
| 100 – 249 | $30.59 | 32% off list |
| 250 – 499 | $29.69 | 34% off list |
| 500 – 999 | $28.79 | 36% off list |
| 1,000+ | $27.89 | 38% off list |
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