Quantum Computing An Applied Approach

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.

Quantum Computing  An Applied Approach

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.

More Books:

Quantum Machine Learning: An Applied Approach
Language: en
Pages: 551
Authors: Santanu Ganguly
Categories: Computers
Type: BOOK - Published: 2021-08-11 - Publisher: Apress

Know how to adapt quantum computing and machine learning algorithms. This book takes you on a journey into hands-on quantum machine learning (QML) through various options available in industry and research. The first three chapters offer insights into the combination of the science of quantum mechanics and the techniques of
Quantum Computing: An Applied Approach
Language: en
Pages: 422
Authors: Jack D. Hidary
Categories: Science
Type: BOOK - Published: 2021-10-31 - Publisher: Springer

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,
Quantum Computing: An Applied Approach
Language: en
Pages: 422
Authors: Jack D. Hidary
Categories: Science
Type: BOOK - Published: 2021-09-29 - Publisher: Springer Nature

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,
Machine Learning with Quantum Computers
Language: en
Pages: 312
Authors: Maria Schuld, Francesco Petruccione
Categories: Science
Type: BOOK - Published: 2021-11-18 - Publisher: Springer Nature

This book offers an introduction into quantum machine learning research, covering approaches that range from "near-term" to fault-tolerant quantum machine learning algorithms, and from theoretical to practical techniques that help us understand how quantum computers can learn from data. Among the topics discussed are parameterized quantum circuits, hybrid optimization, data
Proceedings of International Conference on Data Science and Applications
Language: en
Pages:
Authors: Mukesh Saraswat
Categories: Science
Type: BOOK - Published: - Publisher: Springer Nature

Books about Proceedings of International Conference on Data Science and Applications