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Quantum Computing with Silq Programming

You're reading from Quantum Computing with Silq Programming Get up and running with quantum computing with the simplicity of this new high-level programming language

Product type Paperback

Published in Apr 2021

Publisher Packt

ISBN-13 9781800569669

Length 310 pages

Edition 1st Edition

Languages

C++

Tools

Quantum Development Kit

Concepts

Programming Language

Authors (2):

Thomas Cambier

Srinjoy Ganguly

View More author details

Table of Contents (19) Chapters

Preface

1. Section 1: Essential Background and Introduction to Quantum Computing

2. Chapter 1: Essential Mathematics and Algorithmic Thinking FREE CHAPTER

3. Chapter 2: Quantum Bits, Quantum Measurements, and Quantum Logic Gates

4. Chapter 3: Multiple Quantum Bits, Entanglement, and Quantum Circuits

5. Chapter 4: Physical Realization of a Quantum Computer

6. Section 2: Challenges in Quantum Programming and Silq Programming

7. Chapter 5: Challenges in Quantum Computer Programming

8. Chapter 6: Silq Programming Basics and Features

9. Chapter 7: Programming Multiple-Qubit Quantum Circuits with Silq

10. Section 3: Quantum Algorithms Using Silq Programming

11. Chapter 8: Quantum Algorithms I – Deutsch-Jozsa and Bernstein-Vazirani

12. Chapter 9: Quantum Algorithms II – Grover's Search Algorithm and Simon's Algorithm

13. Chapter 10: Quantum Algorithms III – Quantum Fourier Transform and Phase Estimation

14. Section 4: Applications of Quantum Computing

15. Chapter 11: Quantum Error Correction

16. Chapter 12: Quantum Cryptography – Quantum Key Distribution

17. Chapter 13: Quantum Machine Learning

18. Other Books You May Enjoy

Further reading

Daniel Andrews, Big O: How to Calculate Time and Space Complexity, September 2019. https://www.inoutcode.com/concepts/big-o/.
Dr. Basant Agarwal, Benjamin Baka, Hands-On Data Structures and Algorithms with Python – Second Edition, Packt; Second edition, October 2018.
Dirac, P, (1939), A new notation for quantum mechanics. Mathematical Proceedings of the Cambridge Philosophical Society, 35(3), 416–418, doi:10.1017/S0305004100021162.
P. Kaye, I.Q.C.P. Kaye, P.K.R.L.M. Mosca, R. Laflamme, M. Mosca, and I.Q.C.M.Mosca, An Introduction to Quantum Computing, OUP Oxford, 2007
Paul R. Halmos, Finite-Dimensional Vector Spaces, First edition, Undergraduate Texts in Mathematics, Springer Publishing Company, Incorporated, 1993.
S. Lang, Algebra, Third edition, Graduate Texts in Mathematics 211, Springer-Verlag, 2002.
Grant Sanderson, 3Blue1Brown, https://www.youtube.com/playlist?list=PLZHQObOWTQDPD3MizzM2xVFitgF8hE_ab.

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Quantum Computing with Silq Programming

Published in: Apr 2021

Publisher: Packt

ISBN-13: 9781800569669

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Authors (2)

Ganguly

Ganguly

Srinjoy Ganguly works as a quantum AI research scientist at Fractal Analytics. He has 4+ years of experience in quantum computing, and is an IBM Qiskit advocate and educator. He also teaches quantum computing at Woxsen University as a visiting professor. His research interests include QNLP, category theory with compositionality, variational quantum algorithms and their applications, and machine learning.

See other products by Ganguly

Cambier

Cambier

Thomas Cambier is a French programmer and software developer. After studying top-level mathematics, physics, and computer science at Ecole Polytechnique, France's leading engineering school, he obtained a Master's degree in computer science at ETH Zürich on a broad range of subjects going from algorithmics and cryptography to object-oriented programming. Deeply interested in the promising possibilities resulting from quantum computing, he wrote his Master's thesis on the design of quantum algorithms with Silq, a brand-new high-level quantum language created by a research group at ETH Zürich.

See other products by Cambier

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