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

by Srinjoy Ganguly, Thomas Cambier

Overview

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. 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.

Product Details

ISBN-13:	9781800561212
Publisher:	Packt Publishing
Publication date:	04/30/2021
Sold by:	Barnes & Noble
Format:	eBook
Pages:	310
File size:	10 MB

About the Author

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 Zurich 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 Zurich.

Table of Contents

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 - Grover’s Search Algorithm and Simon’s 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