Quantum Computing for Developers

From Qubits to Real-World Applications in the NISQ Era
1. Auflage 2027
ISBN: 979-8-8688-3403-5
Verlag: APRESS L.P.

Buch, Englisch, Format (B × H): 178 mm x 254 mm

This practical, developer-focused guide takes you from first principles to writing quantum programs with Python and Qiskit. Designed for engineers, programmers, and data professionals, it combines clear explanations with hands-on examples to help you build working applications.

You’ll begin with qubits, superposition, and entanglement, then set up your environment. Building on these foundations, you’ll explore gates, circuits, and measurement, run your first circuits on simulators, and implement algorithms such as Deutsch–Jozsa, Grover’s search, and the Quantum Fourier Transform.

You’ll then move into quantum machine learning and optimization by encoding classical data, building hybrid quantum-classical models, and using variational algorithms. You’ll apply the Quantum Approximate Optimization Algorithm (QAOA) to QUBO problems before running experiments on IBM Quantum hardware, comparing noisy results with ideal simulations, and applying error-mitigation techniques.

By the end, you’ll have the skills to build and test quantum applications, along with an understanding of the challenges ahead for fault-tolerant quantum computing.

What you will learn:

• Build, simulate, and visualize quantum gates and circuits
• Implement algorithms such as Deutsch–Jozsa, Grover’s search, and the Quantum Fourier Transform
• Create hybrid quantum-classical models to solve real classification problems
• Solve combinatorial optimization problems such as Max-Cut using QAOA
• Run programs on IBM Quantum hardware and compare noisy results with ideal simulations

Who this book is for:

This book is aimed at data scientists, ML engineers, and software developers seeking to become quantum-aware professionals. It also appeals to ambitious university students, including students and PhD candidates in computer science, engineering, and physics.

Zielgruppe

Professional/practitioner

Autoren/Hrsg.

Ghosh, Abhinaba

Fachgebiete

• Mathematik | Informatik EDV | Informatik Informatik Mathematik für Informatiker
• Naturwissenschaften Physik Quantenphysik
• Mathematik | Informatik EDV | Informatik Programmierung | Softwareentwicklung Programmier- und Skriptsprachen
• Mathematik | Informatik EDV | Informatik Informatik Künstliche Intelligenz Maschinelles Lernen

Inhaltsverzeichnis

Part 1: Quantum Foundations for Developers.- Chapter 1: Hello, Quantum World!.- Chapter 2: The Quantum Toolkit: Gates, Circuits, and Entanglement.- Chapter 3: Foundational Quantum Algorithms.- Part 2: Building Real-World Quantum Applications.- Chapter 4: Quantum Machine Learning (QML).- Chapter 5: Solving Complex Problems with Quantum Optimization.- Chapter 6: Running on Real Gate-Based Hardware.- Part 3: Navigating the NISQ Era and Beyond.- Chapter 7: The Reality of Noise: Decoherence and Error Mitigation.- Chapter 8: The Future: Quantum Error Correction and the Road Ahead.

Über Autor(innen)

Abhinaba Ghosh is a researcher and educator working at the intersection of quantum computing and machine learning. His work focuses on bridging theoretical physics with practical engineering applications. He holds a BS-MS Dual Degree in Physics from IISER Kolkata and an M.Tech in Optoelectronics and Optical Communication from IIT Delhi. During his research tenure at CMInDS, IIT Bombay, he developed novel quantum applications for wireless communication. Abhinaba has partnered with early-stage startups to design quantum learning modules and mentor up-and-coming developers, driven by a strong commitment to accelerating real-world quantum adoption and educating the next generation of engineers.