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.

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.
● Learn the theory and implementation behind major quantum algorithms, including Shor’s, Grover’s, and Fourier's transforms.
● Solve real-life application problems using quantum machine learning and variational quantum algorithms.

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.

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

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. She was featured in Times Square, New York Billboard as a part of mentoring and providing career guidance on Topmate in Quantum Computing, also she is a seasoned speaker on quantum computing at academic institutions as well as a writer on Medium. 

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. He has actively published research on various applications of quantum computing, ranging from natural language processing to finance and quantum chemistry. He leads and manages the Quantum Open Source Foundation Mentorship program globally. 

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. An author of multiple quantum books and research papers across quantum chemistry, quantum machine learning, quantum NLP, and materials science. He holds triple master’s degrees in Quantum Technologies, Quantum Computing Technology, and AI, along with a bachelor’s in electronics and communications engineering. He has published two Udemy courses– Quantum Computing Ultimate Masterclass (14,000+ enrollments globally) and QNLP using the Lambeq Toolkit (3000+ enrollments globally). Srinjoy has delivered expert talks at IITs, IEEE SPS, and various platforms on QML, QNLP, and Quantum Computing. His QNLP talk at IIT Madras earned praise from Bob Coecke (QNLP Pioneer and Chief Scientist at Quantinuum) and Ilyas Khan (CEO of Quantinuum). Currently, he manages the global QOSF mentorship program, serves on program committees for international conferences, and is an editor of a De Gruyter quantum computing book.

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ABOUT TECHNICAL REVIEWER'S

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Adarsh Kumar has over 19 years of experience in research and academics, specializing in computer science and information technology. He currently serves as a professor at the University of Petroleum and Energy Studies, Dehradun, India. He has also worked as a postdoctoral researcher at the Software Research Institute (SRI) at Athlone Institute of Technology, Ireland, and Mohammed VI Polytechnic University, Morocco. During this time, he contributed to multi-million euro research projects funded by Enterprise Ireland, Science Foundation Ireland, and the European Union H202(), focusing on developing methods to detect and combat cybersecurity attacks. These projects involved collaboration With ten partners from eight European countries, including renowned institutions such as the Technical University Of Darmstadt (Germany), the University Of Oxford (UK)t and the Polish Academy Of Sciences. Additionally, he has served as an assistant professor in the Department Of Computer Science and Information Technology at Jaypee Institute Of Information Technology, Noida, India.

Alberto Maldonado-Romo is a PhD in Computer Science. He currently leads the Quantum Open Source Foundation (QOSF), a prominent organization dedicated to fostering quantum technology development. His leadership was instrumental in organizing the 2022 QOSF mentorship program. As a passionate advocate for quantum computing, Alberto has held key roles in various organizations. He is an ambassador for the Unitary Fund and a dedicated Qiskit user. His skills and expertise have been recognized with prestigious awards, including victories in QCHack 2021 and QHack 2022. His professional journey has been enriched through internships at renowned organizations such as Entropica Labs, qBraid, and IBM Quantum. He has also contributed to the quantum community by organizing hackathons and colloquiums, as well as volunteering at Quantum Universal Education.