Table of Contents

Essential Mathematics and Algorithmic Thinking

Quantum Bits, the Quantum Measurements, and Quantum Logic Gates

Multiple Quantum Bits, Entanglement, and Quantum Circuits

Physical Realization of a Quantum Computer

Challenges in Quantum Computer Programming

Silq Programming Basics and Features

Programming Multiple Qubit Quantum Circuits with Silq

Quantum Algorithms I - Deutsch-Jozsa and Bernstein-Vazirani

Quantum Algorithms II - Grover’s Search Algorithm and Simon’s Algorithm

Quantum Algorithms III: Quantum Fourier Transform and Phase Estimation

Quantum Error Correction

Quantum Cryptography: Quantum Key Distribution (QKD)

Quantum Machine Learning

About the Author

Srinjoy Ganguly is the founder and CEO of AdroitERA, an EdTech firm, and possesses a Master's in quantum computing technology from the Technical University of Madrid, and a Master's in artificial intelligence from the University of Southampton. He has over 4 years' experience in quantum computing and 5 years' experience in machine learning and deep learning. He currently leads the Quantum Machine Learning (QML) study space at QWorld. He has given an expert talk on QML at IEEE SPS. His research interests include QML, Quantum Image Processing, Quantum Natural Language Processing (QNLP), machine learning, and deep learning. Thomas Cambier is a French programmer and software developer. After studying top-level mathematics, physics, and computer science at Ecole Polytechnique, France's leading engineering school, he obtained a Master's degree in computer science at ETH Zürich on a broad range of subjects going from algorithmics and cryptography to object-oriented programming. Deeply interested in the promising possibilities resulting from quantum computing, he wrote his Master's thesis on the design of quantum algorithms with Silq, a brand-new high-level quantum language created by a research group at ETH Zürich.

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