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


Over the course of this chapter, we have seen the rudiments of classical error correction, where introducing redundant information is key to recovering from errors, provided they occur with a low-enough probability. We introduced simple bit-repetition models that corrected bit-flip errors, thanks to syndrome computation and measurement and their generalization – linear codes.

Then, we dived into quantum error computation and saw that even though the no-cloning theorem prevents us from directly duplicating a state, it is still possible to encode a qubit by entangling it with other qubits, thus introducing redundancy without breaking any quantum law. Moreover, using ancillary qubits, it is possible to compute a syndrome and measure it without interfering with the quantum information that we wish to transmit.

After introducing two simple error correction codes for correcting either a bit-flip or a phase-flip error, we looked at Shor code, which can, by combining the...