| 書(shū)目名稱 | Quantum Computing: An Applied Approach |
| 編輯 | Jack D. Hidary |
| 視頻video | http://file.papertrans.cn/782/781119/781119.mp4 |
| 概述 | Expanded coverage of quantum machine learning and quantum error correction.Best selling book giving hands-on instruction to quantum computing.Companion website with code, problem sets and additional r |
| 圖書(shū)封面 |  |
| 描述 | .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 |
| 出版日期 | Book 2021Latest edition |
| 關(guān)鍵詞 | Quantum computing; Quantum computers; Quantum computation; Superconducting qubits; Qubits; Quantum suprem |
| 版次 | 2 |
| doi | https://doi.org/10.1007/978-3-030-83274-2 |
| isbn_ebook | 978-3-030-83274-2 |
| copyright | The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerl |
|Archiver|手機(jī)版|小黑屋|
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