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

Chapter 4: Physical Realization of a Quantum Computer

For many years, quantum computing has only been a theoretical area of research because the principles of quantum mechanics were very difficult to create in a physical lab environment. We know that theoretical studies alone are not enough until and unless we make it practical and apply those techniques in our daily lives. With the advancement of technology and physics devices of course, quantum computers came to be physically realizable. The challenges of quantum programming that we discussed in the previous chapter are related to physical quantum computers because, ultimately, the code is going to run on the hardware, and the problems in quantum programming arise also due to the challenges currently present in physical quantum computers today.

In this chapter, we will see the physical realization of quantum computers using various techniques based on quantum physics. The devices that we will discuss here work on the principles...