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

The challenges of quantum programming

Throughout this chapter, we have aimed to show you the progress of classical computing hardware and software and contrast it with the developments we are currently seeing with quantum computers and quantum programming. This was important to do because the improvements of the later technologies are dependent upon the previous ones as they give us a coherent thought process and intuition to use our common sense to think about the natural extension of technology and help us to develop a wider perspective of looking at things from a different angle.

In this section, let's discuss the challenges currently faced by researchers of quantum computing and quantum programming. Let's see the challenges one by one briefly:

  • Quantum programming difficulty: If we want to contrast classical programing with quantum programming, then we are in a better position to compare the classical programming with quantum programming because classical computing...