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)
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

Illustrating qubits in different bases

We saw in Chapter 1, Essential Mathematics and Algorithmic Thinking, that the states |0> and |1> are orthonormal states, which means that they have unit length and are orthogonal to each other. It can also be seen that these states are the most fundamental states that are used to construct other quantum states. Therefore, these states are known as orthonormal basis states. These states are linearly independent as well, and any other state can be formed by the linear combination of the states |0> and |1>.

In this section, we will see various illustrations of qubits in different bases, which will help us to understand the physical representation of qubits. We will be discussing the Bloch sphere representation of qubits and then the Z, X, and Y axis basis states. Various illustrations are useful for certain types of quantum algorithms, and they make the mathematics of the algorithms easier to understand. If you learn these different...