Book description
Learn the mathematics behind quantum computing and explore the highlevel 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 lowlevel 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 highlevel 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. You'll learn how to use Silq to program quantum algorithms to solve existing and complex tasks. Using quantum algorithms, you'll also gain practical experience in useful applications such as quantum error correction, cryptography, and quantum machine learning. Finally, you'll discover how to optimize the programming of quantum computers with the simple Silq.
By the end of this Silq book, you'll 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 Grover's and Simon's
 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. Beginnerlevel knowledge of any programming language as well as mathematical topics such as linear algebra, probability, complex numbers, and statistics is required.
Table of contents
 Quantum Computing with Silq Programming
 Contributors
 About the authors
 About the reviewer
 Preface
 Section 1: Essential Background and Introduction to Quantum Computing
 Chapter 1: Essential Mathematics and Algorithmic Thinking
 Chapter 2: Quantum Bits, Quantum Measurements, and Quantum Logic Gates
 Chapter 3: Multiple Quantum Bits, Entanglement, and Quantum Circuits
 Chapter 4: Physical Realization of a Quantum Computer
 Section 2: Challenges in Quantum Programming and Silq Programming

Chapter 5: Challenges in Quantum Computer Programming
 A brief history of classical computers
 The challenges of today's classical computers
 Understanding the assembly language
 HLLs for classical computers
 Lowlevel circuit programming of quantum computers
 Introducing quantum programming languages
 The challenges of quantum programming
 Summary
 Further reading
 Chapter 6: Silq Programming Basics and Features
 Chapter 7: Programming MultipleQubit Quantum Circuits with Silq
 Section 3: Quantum Algorithms Using Silq Programming
 Chapter 8: Quantum Algorithms I – DeutschJozsa and BernsteinVazirani

Chapter 9: Quantum Algorithms II – Grover's Search Algorithm and Simon's Algorithm
 Technical requirements
 Introducing search algorithms
 Getting started with Grover's search algorithm
 Grover's search for one solution using Silq programming
 Grover's search for multiple solutions using Silq programming
 Grover's search for an unknown number of solutions using Silq programming
 Introducing Simon's algorithm
 Summary
 Further reading
 Chapter 10: Quantum Algorithms III – Quantum Fourier Transform and Phase Estimation
 Section 4: Applications of Quantum Computing
 Chapter 11: Quantum Error Correction
 Chapter 12: Quantum Cryptography – Quantum Key Distribution
 Chapter 13: Quantum Machine Learning
 Other Books You May Enjoy
Product information
 Title: Quantum Computing with Silq Programming
 Author(s):
 Release date: April 2021
 Publisher(s): Packt Publishing
 ISBN: 9781800569669
You might also like
book
Practical Quantum Computing for Developers: Programming Quantum Rigs in the Cloud using Python, Quantum Assembly Language and IBM QExperience
Write algorithms and program in the new field of quantum computing. This book covers major topics …
book
Foundations of Quantum Programming
Foundations of Quantum Programming discusses how new programming methodologies and technologies developed for current computers can …
book
Quantum Computing Solutions: Solving RealWorld Problems Using Quantum Computing and Algorithms
Know how to use quantum computing solutions involving artificial intelligence (AI) algorithms and applications across different …
book
Quantum Computing in Practice with Qiskit® and IBM Quantum Experience®
Understand the nuances of programming traditional quantum computers and solve the challenges of the future while …