Book Image

Quantum Computing with Silq Programming

By : Srinjoy Ganguly, Thomas Cambier
Book Image

Quantum Computing with Silq Programming

By: Srinjoy Ganguly, Thomas Cambier

Overview of this book

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.
Table of Contents (19 chapters)
Section 1: Essential Background and Introduction to Quantum Computing
Section 2: Challenges in Quantum Programming and Silq Programming
Section 3: Quantum Algorithms Using Silq Programming
Section 4: Applications of Quantum Computing


In this chapter, you learned about the concept of machine learning and the various algorithms that hold importance in industries today. Then, we looked into the concepts of quantum machine learning and how it is different from classical machine learning. During the discussion of quantum machine learning, you learned about various encoding schemes, kernel-based quantum models, the quantum K-means algorithm, and variational circuits. Finally, we discussed the latest goings-on in the field of quantum computing, with some resources for you to keep yourself up to date on the latest developments in the field of quantum computing.

Heartiest congratulations to you as you have reached the end of this chapter and this book! We hope that you have gained some valuable knowledge in the new high-level quantum programming language Silq and that you will be able to apply that knowledge in your own research and make interesting quantum projects and applications.

We hope that you have...