Curriculum

19 Chapters · 19 Lessons

  1. 1

    Book Preview

    1. Mastering Quantum Computing with Qiskit Free preview
  2. 2

    Introduction

    1. (Included in full purchase)

      Introduction

  3. 3

    Chapter 1 : Foundational Mathematics

    1. (Included in full purchase)

      Foundational Mathematics

  4. 4

    Chapter 2 : Quantum Mechanics

    1. (Included in full purchase)

      Quantum Mechanics

  5. 5

    Chapter 3 : Fundamentals of Computation

    1. (Included in full purchase)

      Fundamentals of Computation

  6. 6

    Chapter 4 : Qubit Modalities

    1. (Included in full purchase)

      Qubit Modalities

  7. 7

    Chapter 5 : An Introduction to Qiskit

    1. (Included in full purchase)

      An Introduction to Qiskit

  8. 8

    Chapter 6 : Single Qubit Quantum Logic Gates

    1. (Included in full purchase)

      Single Qubit Quantum Logic Gates

  9. 9

    Chapter 7 : Multi Qubit Quantum Logic Gates

    1. (Included in full purchase)

      Multi Qubit Quantum Logic Gates

  10. 10

    Chapter 8 : Qiskit Mapping and Optimization

    1. (Included in full purchase)

      Qiskit Mapping and Optimization

  11. 11

    Chapter 9 : Quantum Algorithms Part I

    1. (Included in full purchase)

      Quantum Algorithms Part I

  12. 12

    Chapter 10 : Quantum Algorithms Part II

    1. (Included in full purchase)

      Quantum Algorithms Part II

  13. 13

    Chapter 11 : Quantum Communication Protocols

    1. (Included in full purchase)

      Quantum Communication Protocols

  14. 14

    Chapter 12 : Variational Quantum Algorithms

    1. (Included in full purchase)

      Variational Quantum Algorithms

  15. 15

    Chapter 13 : Quantum Machine Learning

    1. (Included in full purchase)

      Quantum Machine Learning

  16. 16

    Chapter 14 : Quantum Error Mitigation

    1. (Included in full purchase)

      Quantum Error Mitigation

  17. 17

    Chapter 15 : Qiskit Pulse for Quantum Hardware

    1. (Included in full purchase)

      Qiskit Pulse for Quantum Hardware

  18. 18

    Bibliography

    1. (Included in full purchase)

      Bibliography

  19. 19

    INDEX

    1. (Included in full purchase)

      INDEX

About the course

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!

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. An author of multiple quantum books and research papers across quantum chemistry, quantum machine learning, quantum NLP, and materials science.