Understand and implement superconducting Qubit Design using Qiskit Metal in the Quantum Computing environment. This book provides practical knowledge and step-by-step guidance on designing, analyzing, and fabricating quantum chips.

The book begins with an introduction to the fundamentals of quantum computing, covering essential terms, concepts, and the history of quantum computers. It explores the differences between quantum and classical computers and provides an overview of superconducting qubits. Next, you will learn the theory and practical aspects of superconducting qubits. Detailed mathematical and computational analyses of different qubit types and circuits are provided, along with a comprehensive guide to creating quantum circuits using Qiskit and Qiskit Metal. You will learn to design quantum chips and analyze components such as Josephson junctions and qubit couplers, using advanced methods such as the Lumped Oscillator Model, Quasi-Lumped Oscillator Model, and Energy Participation Ratio Method. Finally, the book covers the fabrication of superconducting qubits, detailing the manufacturing process, requirements, and methods to address fabrication issues.

After reading this book, you will be able to advance your understanding and skills in this cutting-edge field, making complex concepts accessible and providing a roadmap for practical application.

What You Will Learn

• Install the Qiskit framework for creating basic quantum computing circuits
• Create your first superconducting qubit chip from scratch
• Formulate the back-end mathematical and computational model for the generated superconducting chips
• Understand the Quasi-LOM (lumped oscillator model) and how it differs from the LOM

Subhojit Halder is a graduate from India with a bachelor degree in Electronics and Telecommunication Engineering. He is a published author in quantum technologies and has several research articles in this field. His research focuses on astronomical simulations using quantum computing and integrating quantum technologies with existing classical systems. He has been awarded multiple patents and copyrights for his innovations, including a unique back-end kernel for Android devices that temporarily replicates quantum computations in cached memory, allowing for complex quantum circuit simulations with minimized noise errors.

Kinjal A. Chauhan is a researcher specializing in quantum technologies with a strong foundation in solid-state physics, computational physics, and quantum information. She holds a dual degree in Engineering Physics (BTech) and an MS in Solid State Physics from the Indian Institute of Space Science and Technology (IIST), Trivandrum. She has contributed to several cutting-edge research projects and published works in reputed journals such as Journal of Physics D: Applied Physics and Optical and Quantum Electronics, including studies on magnonic and photonics sensors. Currently a Junior Research Fellow at the Indian Institute of Technology, Delhi, she is focused on designing a quantum dot-based single-photon source and CNOT gate.

Muhamad Bagher Barfar is a researcher specializing in Quantum Technologies and SQUIDs (superconducting quantum interference devices), particularly with a background in Solid-State Physics (he has a BSc degree). He holds a double master degree in Optic-Laser and Theoretical Physics from Tarbiat Modares University, Tehran. He is also a QML researcher at Tarbiat Modares University in Iran and, a founding member of PlancQ group, working on Superconducting Quantum Chip Design.

Srinjoy Ganguly is a PhD researcher in quantum technologies at University College London focusing on heterogeneous neutral-atom-superconducting quantum architectures and an IBM Qiskit Advocate with more than seven years of experience in different aspects of quantum technologies (software and hardware). 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 Queensland supervising a PhD student in quantum machine learning. He is an author of multiple quantum books and research papers across quantum chemistry, quantum machine learning, quantum NLP, and materials science.

Shalini Devendrababu holds a master degree 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. She is a seasoned speaker on quantum computing at various academic institutions as well as a writer on Medium.