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

Introducing classical error correction technique

Communication channels are intrinsically unreliable because of the impossibility to completely prevent noise from interfering with information bits. Throughout the history of computers, this has led to various techniques being created for error correction, to ensure the integrity of a transmitted message.

In this section, we will look at how to detect and correct errors in classical computing. This will serve as an introduction to quantum error correction techniques, which we will discuss in the next section.

Let's start with one of the simplest classical error correction techniques, which is useful for correcting a single bit-flip error.

Redundancy and majority vote

First, we will introduce the central idea behind most error correction processes, which consists of introducing redundant bits of information and keeping only the majority value. We will explore how to use this on an example error model to design error-correcting...