Quantum Computing Fundamentals Edx
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P-bits And Q-bits: Probabilistic And Quantum Computing
This book is the third volume in the New Era Electronics lecture notes series, a compilation of volumes defining the important concepts tied to the electronics transition happening in the 21st century.The material is adapted from a unique course that connects three diverse fields — statistical mechanics, neural networks and quantum computing — using the unifying concept of a state-space with 2N dimensions defined by N binary bits. First, the seminal concepts of statistical mechanics, developed to describe natural interacting systems, are described. Then, these concepts are connected to engineered interacting systems like Boltzmann Machines (BM), which are cleverly designed to solve problems in machine learning. Finally, we connect to engineered quantum systems, stressing the key role of quantum interference in distinguishing them from classical systems like BM.Assuming only a basic background in differential equations and linear algebra, this book is accessible to broader audiences across its described topics, including students in physics, engineering and computing, as well as professionals working actively in the technical fields looking for a primer to unconventional computing.
Quantum Mechanics for Scientists and Engineers
Author: David A. B. Miller
language: en
Publisher: Cambridge University Press
Release Date: 2008-04-21
If you need a book that relates the core principles of quantum mechanics to modern applications in engineering, physics, and nanotechnology, this is it. Students will appreciate the book's applied emphasis, which illustrates theoretical concepts with examples of nanostructured materials, optics, and semiconductor devices. The many worked examples and more than 160 homework problems help students to problem solve and to practise applications of theory. Without assuming a prior knowledge of high-level physics or classical mechanics, the text introduces Schrödinger's equation, operators, and approximation methods. Systems, including the hydrogen atom and crystalline materials, are analyzed in detail. More advanced subjects, such as density matrices, quantum optics, and quantum information, are also covered. Practical applications and algorithms for the computational analysis of simple structures make this an ideal introduction to quantum mechanics for students of engineering, physics, nanotechnology, and other disciplines. Additional resources available from www.cambridge.org/9780521897839.
Quantum Computing
Author: Richard Skiba
language: en
Publisher: After Midnight Publishing
Release Date: 2025-03-09
Quantum computing is revolutionizing the way we approach computation, unlocking unprecedented capabilities that challenge the limits of classical computers. This book is a guide for anyone seeking to understand the complexities of this emerging field. Whether you are a student, researcher, or technology enthusiast, this book provides a comprehensive exploration of the core concepts, algorithms, hardware, and real-world applications of quantum computing. The book begins with a solid introduction to quantum mechanics, the foundational science that makes quantum computing possible. Readers will gain an understanding of key principles such as superposition, entanglement, and quantum interference—phenomena that enable quantum computers to process vast amounts of data in parallel. The discussion then shifts to qubits, the fundamental building blocks of quantum computation, explaining their physical implementations using superconducting circuits, trapped ions, photonic systems, and other technologies. As the book progresses, it delves into the architecture of quantum computing, covering quantum logic gates, circuit design, and universal gate sets that define how quantum computers perform calculations. It explores groundbreaking quantum algorithms such as Shor’s algorithm for factoring large numbers and Grover’s algorithm for quantum search, demonstrating how quantum computing achieves exponential speedup over classical methods. A key challenge in quantum computing is error correction and noise mitigation. This book provides an in-depth analysis of quantum error correction techniques, fault-tolerant computing, and strategies for overcoming decoherence and environmental noise, making it accessible even to readers without a deep background in physics. The discussion extends beyond theory to practical implementations, examining quantum hardware developed by leading technology companies such as IBM, Google, Microsoft, IonQ, and Rigetti. It also explores the role of quantum computing in cybersecurity, highlighting quantum cryptography, post-quantum encryption, and quantum key distribution protocols that ensure secure communications. The latter sections of the book showcase real-world applications of quantum computing in fields such as artificial intelligence, drug discovery, climate modelling, financial modelling, and supply chain optimization. It also covers cloud-based quantum computing services like IBM Quantum Experience, Google Quantum AI, and Amazon Braket, providing insights into how organizations can leverage quantum computing without owning expensive quantum hardware. With an eye toward the future, Quantum Computing: Fundamental Principles of Quantum Computing Systems examines the ongoing challenges and expected advancements in the field, offering predictions on the evolution of quantum computing over the next two decades. This book is an indispensable resource for understanding one of the most exciting technological frontiers of our time.