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

HLLs for classical computers

We have now seen the evolution of classical computers and the very first low-level programming languages, which were developed to provide instructions to the computer to achieve some tasks. Similar tasks can also be achieved using HLLs whose programming syntax is much easier to comprehend by a wider audience as well.

In HLLs, there are certain advantages, which are as follows:

  • The amount of abstraction present is stronger than that of low-level circuit programming languages.
  • HLLs provide an interface between the low-level circuit elements, such as registers and memory, and the users who would like to use simple expressions and statements to perform programming operations.
  • HLLs also help to perform better memory management and can automate processes significantly faster than lower-level languages.

The IBM 704 mainframe computer used the Fortran HLL for its programming and was later used by other organizations and individuals as...