Quantum Programming In Depth
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Quantum Programming in Depth
Author: Mariia Mykhailova
language: en
Publisher: Simon and Schuster
Release Date: 2025-08-05
Go beyond the basics with this in-depth guide to quantum programming. Here’s something you already know: quantum computing is a deep subject. Quantum Programming in Depth takes you beyond quantum basics and shows you how to take on practical quantum problem solving and programming using Q# and Qiskit. Author Mariia Mykhailova, a principal quantum applications software developer at PsiQuantum, guides you every step of the way. In Quantum Programming in Depth you’ll explore: • Algorithms to solve challenging quantum computing problems • Writing quantum programs with Q# and Qiskit • Testing quantum programs with simulators and specialized tools • Evaluating performance of quantum programs on future fault-tolerant quantum computers Quantum Programming in Depth shows you how to do quantum computing outside the lab or classroom, presenting problems of quantum programming and demonstrating how they’re solved. You’ll learn to write quantum programs using Qiskit and Q#—and even how to test your quantum code using common testing tools like pytest. You’ll learn to prepare quantum states and implement operations, extract information from quantum states and operations, evaluate classical functions on a quantum computer, solve search problems, and more. About the Technology Going from the basic quantum concepts to developing software for quantum computers can be difficult! Algorithms that leverage quantum phenomena require new ways of thinking about computation and new approaches to writing code, testing it, and evaluating its performance. This book bridges the gap between QC theory and quantum programming in practice. About the Book Quantum Programming in Depth shows you how to solve quantum computing problems in a programmer-friendly way. The book’s hands-on project-based approach will hone your quantum skills using realistic problems and progressively harder programming challenges. As you read, you’ll design quantum algorithms and explore their performance on future fault-tolerant quantum computers. What’s Inside • Solve challenging quantum computing problems • Write quantum programs with Q# and Qiskit • Test quantum programs • Evaluate performance of quantum programs About the Readers For students and software engineers who know Python and the basic concepts of quantum computing. About the Author Mariia Mykhailova is a principal quantum applications software developer at PsiQuantum. Table of Contents 1 Quantum computing: The hype and the promise Part 1 2 Preparing quantum states 3 Implementing quantum operations Part 2 4 Analyzing quantum states 5 Analyzing quantum operations Part 3 6 Evaluating classical functions on a quantum computer 7 Grover’s search algorithm 8 Solving N queens puzzle using Grover’s algorithm 9 Evaluating the performance of quantum algorithms A Setting up your environment
Programming Quantum Computers
Quantum computers are poised to kick-start a new computing revolution—and you can join in right away. If you’re in software engineering, computer graphics, data science, or just an intrigued computerphile, this book provides a hands-on programmer’s guide to understanding quantum computing. Rather than labor through math and theory, you’ll work directly with examples that demonstrate this technology’s unique capabilities. Quantum computing specialists Eric Johnston, Nic Harrigan, and Mercedes Gimeno-Segovia show you how to build the skills, tools, and intuition required to write quantum programs at the center of applications. You’ll understand what quantum computers can do and learn how to identify the types of problems they can solve. This book includes three multichapter sections: Programming for a QPU—Explore core concepts for programming quantum processing units, including how to describe and manipulate qubits and how to perform quantum teleportation. QPU Primitives—Learn algorithmic primitives and techniques, including amplitude amplification, the Quantum Fourier Transform, and phase estimation. QPU Applications—Investigate how QPU primitives are used to build existing applications, including quantum search techniques and Shor’s factoring algorithm.
Quantum Computing for Everyone
An accessible introduction to an exciting new area in computation, explaining such topics as qubits, entanglement, and quantum teleportation for the general reader. Quantum computing is a beautiful fusion of quantum physics and computer science, incorporating some of the most stunning ideas from twentieth-century physics into an entirely new way of thinking about computation. In this book, Chris Bernhardt offers an introduction to quantum computing that is accessible to anyone who is comfortable with high school mathematics. He explains qubits, entanglement, quantum teleportation, quantum algorithms, and other quantum-related topics as clearly as possible for the general reader. Bernhardt, a mathematician himself, simplifies the mathematics as much as he can and provides elementary examples that illustrate both how the math works and what it means. Bernhardt introduces the basic unit of quantum computing, the qubit, and explains how the qubit can be measured; discusses entanglement—which, he says, is easier to describe mathematically than verbally—and what it means when two qubits are entangled (citing Einstein's characterization of what happens when the measurement of one entangled qubit affects the second as “spooky action at a distance”); and introduces quantum cryptography. He recaps standard topics in classical computing—bits, gates, and logic—and describes Edward Fredkin's ingenious billiard ball computer. He defines quantum gates, considers the speed of quantum algorithms, and describes the building of quantum computers. By the end of the book, readers understand that quantum computing and classical computing are not two distinct disciplines, and that quantum computing is the fundamental form of computing. The basic unit of computation is the qubit, not the bit.