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

Introducing multiple quantum bits

Multiple qubit operations will allow us to implement more complex quantum algorithms in the upcoming chapters. Dealing with multiple qubits is a core requirement in quantum computing because in most cases, the information can only be encoded by the use of many qubits. Multiple qubits also bring flexibility in computation as we can perform quantum operations more conveniently.

You studied some of the basics of tensor products in Chapter 1, Essential Mathematics and Algorithmic Thinking, which will now help you to appreciate the nature of multiple qubits in a quantum computing environment. As we know, single qubits are denoted as |0>, |1>, or any generic state . To denote two qubits, we use the notation |00>, |11>, or any generic state, such as . We can have two different quantum subsystems, each having their own vector spaces. Their interactions can be denoted by the addition and scalar multiplication of the vector elements, which we...