SKU/Artículo: AMZ-B0G42WZZ6R

Mastering Quantum Computing with Qiskit: Master the Fundamentals, Explore Algorithms, and Build Scalable Quantum Applications Using IBM Qiskit to Solve Real-World Problems (English Edition)

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Kindle

Kindle

Paperback

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0.15 kg
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Amazon
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USA

Sobre este producto
  • 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. "Ultimate 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. 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. Who is this book for? This book is tailored for beginners in quantum computing, including students, professionals, researchers, and executives. It’s perfect for anyone eager to understand the impact of quantum technology and motivated to pursue a career or deepen their knowledge in this rapidly evolving field. For experienced readers, this book offers a refresher and advanced insights into Qiskit 1.0+, including optimization techniques, quantum machine learning, and error mitigation, while exploring the latest developments in quantum computing. 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 Author 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. She also wrote the world’s first book exclusively dedicated to Product Managers in the field of quantum computing. 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. Additionally, he has worked as a research intern at Fractal Quantum AI lab focusing on protein-ligand interaction problems using variational quantum algorithms. 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.

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