English | 2021 | ISBN: 978-1800569669 | 313 Pages | PDF, EPUB, MOBI | 40 MB

Learn the mathematics behind quantum computing and explore the high-level quantum language Silq to take your quantum programming skills to the next level

Key Features

Harness the potential of quantum computers more effectively using Silq

Learn how to solve core problems that you may face while writing quantum programs

Explore useful quantum applications such as cryptography and quantum machine learning

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.

What you will learn

- Identify the challenges that researchers face in quantum programming
- Understand quantum computing concepts and learn how to make quantum circuits
- Explore Silq programming constructs and use them to create quantum programs
- Use Silq to code quantum algorithms such as Grover’s and Simon’s
- Discover the practicalities of quantum error correction with Silq
- Explore useful applications such as quantum machine learning in a practical way

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