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Quantum Computing with Silq Programming

Quantum Computing with Silq Programming

By : Ganguly, Cambier
4.7 (9)
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Quantum Computing with Silq Programming

Quantum Computing with Silq Programming

4.7 (9)
By: Ganguly, 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)
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1
Section 1: Essential Background and Introduction to Quantum Computing
6
Section 2: Challenges in Quantum Programming and Silq Programming
10
Section 3: Quantum Algorithms Using Silq Programming
14
Section 4: Applications of Quantum Computing
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Section 4: Applications of Quantum Computing

In this part, you will explore the various cutting-edge applications of quantum computing. The key applications that this chapter will focus on are quantum error correction, quantum cryptography, and quantum machine learning. You will get hands-on coding experience in Silq to develop these applications, and this will enable you to apply quantum computing in the near future.

This section comprises the following chapters:

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