Description
Book Synopsis: 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.
Details
Are you ready to dive into the world of quantum computing? Look no further than Quantum Computing: An Applied Approach. This groundbreaking book seamlessly integrates the essential foundations of quantum computing with a hands-on coding approach, making it the perfect resource for both academic coursework and corporate technical training.
What sets this second edition apart is its extensive updates and revisions, ensuring that you have the most up-to-date information at your fingertips. Discover new sections on topics such as quantum machine learning, quantum error correction, and Dirac notation. Benefit from the invaluable input of leading faculty, students, corporate engineering teams, and independent readers who have relied on the first edition.
This comprehensive volume combines three books under one cover, providing you with a complete learning experience. Part I lays the groundwork by introducing the necessary foundations of quantum computing and quantum circuits. In Part II, you'll explore a wide range of quantum computing algorithms and gain access to code that reflects the latest practices in the field. Finally, Part III equips you with the mathematical toolkit essential for mastering quantum computing.
As an added bonus, you'll find a helpful table of operators and circuit elements, as well as a companion GitHub site filled with code and updates to further enhance your learning journey.
Take this opportunity to learn from the best. The author of Quantum Computing: An Applied Approach, Jack D. Hidary, is a renowned research scientist in both quantum computing and AI at Alphabet X, formerly Google X. With his expertise and guidance, you can embark on a transformative learning experience that will set you up for success in this exciting and rapidly evolving field.
Don't miss out on this chance to immerse yourself in the future of computing. Get your copy of Quantum Computing: An Applied Approach today and start your journey towards becoming a quantum computing expert. Click here to order now!
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