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Srinjoy Ganguly - Quantum Computing with Silq Programming: Get up and running with quantum computing with the simplicity of this new high-level programming language

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Srinjoy Ganguly Quantum Computing with Silq Programming: Get up and running with quantum computing with the simplicity of this new high-level programming language
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Learn the mathematics behind quantum computing and explore the high-level quantum language Silq to take your quantum programming skills to the next level

Key Features
  • Harness the potential of quantum computers more effectively using Silq
  • Learn how to solve core problems that you may face while writing quantum programs
  • Explore useful quantum applications such as cryptography and quantum machine learning
Book Description

Quantum computing is a growing field, with many research projects focusing on programming quantum computers in the most efficient way possible. One of the biggest challenges faced with existing languages is that they work on low-level circuit model details and are not able to represent quantum programs accurately. Developed by researchers at ETH Zurich after analyzing languages including Q# and Qiskit, Silq is a high-level programming language that can be viewed as the C++ of quantum computers! Quantum Computing with Silq Programming helps you explore Silq and its intuitive and simple syntax to enable you to describe complex tasks with less code.

This book will help you get to grips with the constructs of the Silq and show you how to write quantum programs with it. Youll learn how to use Silq to program quantum algorithms to solve existing and complex tasks. Using quantum algorithms, youll also gain practical experience in useful applications such as quantum error correction, cryptography, and quantum machine learning. Finally, youll discover how to optimize the programming of quantum computers with the simple Silq.

By the end of this Silq book, youll have mastered the features of Silq and be able to build efficient quantum applications independently.

What you will learn
  • Identify the challenges that researchers face in quantum programming
  • Understand quantum computing concepts and learn how to make quantum circuits
  • Explore Silq programming constructs and use them to create quantum programs
  • Use Silq to code quantum algorithms such as Grovers and Simons
  • Discover the practicalities of quantum error correction with Silq
  • Explore useful applications such as quantum machine learning in a practical way
Who this book is for

This Silq quantum computing book is for students, researchers, and scientists looking to learn quantum computing techniques and software development. Quantum computing enthusiasts who want to explore this futuristic technology will also find this book useful. Beginner-level knowledge of any programming language as well as mathematical topics such as linear algebra, probability, complex numbers, and statistics is required.

Table of Contents
  1. Essential Mathematics and Algorithmic Thinking
  2. Quantum Bits, the Quantum Measurements, and Quantum Logic Gates
  3. Multiple Quantum Bits, Entanglement, and Quantum Circuits
  4. Physical Realization of a Quantum Computer
  5. Challenges in Quantum Computer Programming
  6. Silq Programming Basics and Features
  7. Programming Multiple Qubit Quantum Circuits with Silq
  8. Quantum Algorithms I - Deutsch-Jozsa and Bernstein-Vazirani
  9. Quantum Algorithms II - Grovers Search Algorithm and Simons Algorithm
  10. Quantum Algorithms III: Quantum Fourier Transform and Phase Estimation
  11. Quantum Error Correction
  12. Quantum Cryptography: Quantum Key Distribution (QKD)
  13. Quantum Machine Learning

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Quantum Computing with Silq Programming Get up and running with quantum - photo 1
Quantum Computing with Silq Programming

Get up and running with quantum computing with the simplicity of this new high-level programming language

Srinjoy Ganguly

Thomas Cambier

BIRMINGHAMMUMBAI Quantum Computing with Silq Programming Copyright 2021 Packt - photo 2

BIRMINGHAMMUMBAI

Quantum Computing with Silq Programming

Copyright 2021 Packt Publishing

All rights reserved. No part of this book may be reproduced, stored in a retrieval system, or transmitted in any form or by any means, without the prior written permission of the publisher, except in the case of brief quotations embedded in critical articles or reviews.

Every effort has been made in the preparation of this book to ensure the accuracy of the information presented. However, the information contained in this book is sold without warranty, either express or implied. Neither the author(s), nor Packt Publishing or its dealers and distributors, will be held liable for any damages caused or alleged to have been caused directly or indirectly by this book.

Packt Publishing has endeavored to provide trademark information about all of the companies and products mentioned in this book by the appropriate use of capitals. However, Packt Publishing cannot guarantee the accuracy of this information.

Group Product Manager: Aaron Lazar

Publishing Product Manager: Shweta Bairoliya

Senior Editor: Storm Mann

Content Development Editor: Nithya Sadanandan

Technical Editor: Gaurav Gala

Copy Editor: Safis Editing

Project Coordinator: Deeksha Thakkar

Proofreader: Safis Editing

Indexer: Rekha Nair

Production Designer: Vijay Kamble

First published: April 2021

Production reference: 1300421

Published by Packt Publishing Ltd.

Livery Place

35 Livery Street

Birmingham

B3 2PB, UK.

978-1-80056-966-9

www.packt.com

I dedicate this book to God, my Guru, to my family, my teachers and tutors, and to my amazing friends for their consistent support and encouragement throughout the writing process.

Srinjoy Ganguly

I would like to thank Prof. Dr. Martin Vechev for giving me the opportunity to write my Master's thesis at the SRI lab at ETH Zurich, and Benjamin Bichsel for his help on implementing quantum algorithms with Silq.

Thomas Cambier

Contributors
About the authors

Srinjoy Ganguly is the founder and CEO of AdroitERA, an EdTech firm, and possesses a Master's in quantum computing technology from the Technical University of Madrid, and a Master's in artificial intelligence from the University of Southampton. He has over 4 years' experience in quantum computing and 5 years' experience in machine learning and deep learning. He currently leads the Quantum Machine Learning (QML) study space at QWorld. He has given an expert talk on QML at IEEE SPS. His research interests include QML, Quantum Image Processing, Quantum Natural Language Processing (QNLP), machine learning, and deep learning.

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 Zrich 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 Zrich.

About the reviewer

Alberto Maldonado is doing his Ph.D. on QML in computer science at the Center for Computing Research, IPN, Mexico. At his institute, he has collaborated with the Fermilab and CERN research centers for the GeantV project. Alberto has participated in different events, such as Xanadu's Qhack, and was a mentee of QOSF's mentor program. He is passionate about using new technologies and paradigms, such as quantum computing, and is self-taught and diligent.

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