Quantum Computing with Python (ebook) Słupca

DescriptionQuantum computing is rapidly evolving from a theoretical concept into a practical technology, influencing areas such as cybersecurity, optimization, artificial intelligence, and scientific research. As industries explore their potential, there is a growing demand for engineers, developers, and researchers who can understand and apply quantum computing using accessible tools such as Python.This book is written from a combined perspective of teaching, research, and industry experience, ensuring both conceptual clarity and practical relevance. It introduces core concepts such as qubits, quantum states, gates, and circuits, and then progresses to algorithms such as Grovers and Shors. It also explains quantum hardware, noise, and real-world limitations. You will gain hands-on experience using Qiskit, Cirq, and AWS Braket, along with exposure to advanced topics such as variational algorithms, quantum cryptography, and quantum machine learning, supported by simulation exercises and mini projects.By the end of this book, readers will be able to design and implement quantum programs, work with modern quantum platforms, and apply quantum concepts to real-world problems with confidence.What you will learn Understand qubits, superposition, entanglement, and quantum computing basics. Design quantum circuits using gates, measurements, and circuit models. Implement quantum algorithms like Grovers and Shors using Python. Work with Qiskit, Cirq, and AWS Braket for real applications. Debug and optimize quantum code using generative LLMs. Train hybrid quantum neural networks with PennyLane PyTorch.Who this book is forThis book targets students, academicians, software developers, researchers, data scientists, and engineers with basic Python and introductory mathematics. It helps industry professionals develop practical skills in quantum programming, multi-framework SDK deployment, and real-world quantum computing applications.Table of Contents1. Introduction to Quantum Computing2. Qubits and Quantum States3. Quantum Gates and Circuits4. Quantum Algorithms5. Quantum Hardware and Noise6. Getting Started with Python for Quantum Computing7. Programming with Qiskit from IBM8. Quantum Utility and Qiskit Patterns9. Programming with Cirq10. Programming with AWS Braket11. Variational and Hybrid Algorithms with Python12. Quantum Cryptography and Security13. Quantum Machine Learning14. Quantum Simulation Projects15. End-to-end Mini Projects16. Artificial Intelligence and Quantum Computing17. Road Ahead for Quantum ComputingAppendix: AI-assisted Programming for Quantum Computing