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Cover for Mastering Quantum Computing with Qiskit

Mastering Quantum Computing with Qiskit

Tungumál
enska
Snið
Bókaflokkur

Óskáldað efni

Master Quantum Computing with Qiskit to Build Powerful Applications.

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!

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

© 2025 Orange Education Pvt Ltd (Rafbók): 9789348107183

Útgáfudagur

Rafbók: 26 november 2025

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