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Quantum Computing for Beginners
This book integrates the foundations of quantum computing with a hands-on coding approach to this emerging field, making it the first to bring these elements together in an updated manner. The 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, with new sections on quantum machine learning, quantum error correction, Dirac notation, and more. This updated edition benefits from the input of the many faculty, students, corporate engineering teams, and independent readers who have used the first edition.
The 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.
The author, Jack D. Hidary, is a research scientist in quantum computing and AI at Alphabet X, formerly Google X.
product information:
| Attribute | Value | ||||
|---|---|---|---|---|---|
| publisher | Springer; 2nd ed. 2021 edition (December 20, 2021) | ||||
| language | English | ||||
| hardcover | 445 pages | ||||
| isbn_10 | 3030832732 | ||||
| isbn_13 | 978-3030832735 | ||||
| item_weight | 1.69 pounds | ||||
| dimensions | 6.25 x 1 x 9.5 inches | ||||
| best_sellers_rank | #281,392 in Books (See Top 100 in Books) #262 in Quantum Theory (Books) #666 in Programming Languages (Books) #8,539 in Unknown | ||||
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