Master Quantum Computing with Qiskit to Build Powerful Applications.
Key Features
? Learn quantum computing fundamentals, including qubits and entanglement.
? Explore key quantum algorithms and new features of Qiskit 1.0+.
? Build real-world quantum applications for complex problem-solving.
Book Description
With over 450,000 users worldwide, Qiskit has become the go-to platform for building large-scale quantum applications on systems with hundreds of qubits. "Mastering Quantum Computing with Qiskit" offers a comprehensive guide to mastering quantum computing using IBM’s powerful open-source framework.
This book begins by introducing the core concepts of mathematics, quantum mechanics, and computation, before diving into qubits and quantum logic gates for both single and multi-qubit systems. You’ll then explore key features of Qiskit, including mapping, optimization, and transpilation, essential for building efficient quantum circuits.
The book also covers a range of important topics, from foundational quantum algorithms like Grover’s, Shor’s and Fourier’s to quantum communication protocols and variational quantum algorithms. Finally, advanced sections on quantum machine learning, error mitigation, and Qiskit Pulse will empower you to solve real-world problems and stay at the forefront of quantum computing innovation.
Dive in today and unlock the power of quantum computing to build the applications of tomorrow. Let this book be your guide to mastering Qiskit and shaping the future of technology!
What you will learn
? Understand the mathematics behind digital quantum computing technology with essential quantum mechanics.
? Explore quantum hardware platforms and their working principles.
? Get familiar with the features of the new utility-scale Qiskit 1.0+ and quantum logic gates used for making quantum circuits.
? Gain in-depth knowledge about Qiskit transpilation, mapping, and quantum error mitigation processes.
Table of Contents
1. Foundational Mathematics
2. Quantum Mechanics
3. Fundamentals of Computation
4. Qubit Modalities
5. An Introduction to Qiskit
6. Single Qubit Quantum Logic Gates
7. Multi Qubit Quantum Logic Gates
8. Qiskit Mapping and Optimization
9. Quantum Algorithms Part I
10. Quantum Algorithms Part II
11. Quantum Communication Protocols
12. Variational Quantum Algorithms
13. Quantum Machine Learning
14. Quantum Error Mitigation
15. Qiskit Pulse for Quantum Hardware
Bibliography
Index
About the Authors
Shalini Devendrababu holds a Master’s in Quantum Technologies from CSIC UIMP, Spain. She is currently the lead Quantum AI Researcher at Fractal Quantum AI Lab. She authored a bestselling and highly rated Udemy course on Qiskit and has published research works on quantum material science with Springer and IEEE.
Sai Nandan Morapakula is pursuing his PhD in quantum computing at the University of Massachusetts, Boston. He worked as an ex-Research Software Engineer at Qkrishi, where he focused on quantum finance, particularly portfolio optimization problems for financial corporations.
Srinjoy Ganguly is a PhD researcher in quantum technologies at University College London and an IBM Qiskit Advocate. Formerly, he was a Lead Quantum AI Research Scientist at Fractal Quantum AI lab, a Clinical Professor of Practice for Quantum Technologies at Woxsen University, and an Associate Supervisor at the University of Southern Queens land supervising a PhD student in quantum machine learning.
