Applied Quantum Computing II: Hardware
link Source:
date_range Starts on February 13, 2023
event_note Ends on March 27, 2023
list 6 sequences
assignment Level : Advanced
chat_bubble_outline Language : English
card_giftcard 0 points
Users' reviews
0 reviews

Key Information

credit_card Free access
verified_user Fee-based Certificate
timer 42 hours in total

About the content

This course is part 2 of the series of Quantum computing courses, which covers aspects from fundamentals to present-day hardware platforms to quantum software and programming.

The goal of part 2 is to provide the essential understanding of how the fundamental quantum phenomena discussed in part 1 can be realized in various material platforms and the underlying challenges faced by each platform. To this end, we will focus on how quantum bits (qubits, the building block of quantum information processing) can be defined in each platform, how such qubits are manipulated and interconnected to form larger systems, and the sources of errors in each platform.

With an emphasis on present-day leading candidates, we will discuss following specific quantum material platforms:

  • Superconductor-based
  • Atom/ion traps-based
  • Spin-based

The material will appeal to engineering students, natural sciences students, and professionals whose interests are in using and developing quantum information processing technologies.


Quantum Computing 1: Fundamentals is an essential prerequisite to Quantum Computing 2: Hardware and Quantum Computing 3: Algorithm and Software. Learners should plan to complete Fundamentals (1) before enrolling in the Hardware (2) or the Algorithm and Software (3) courses.

Alternatively, learners can enroll in courses 2 or 3 if they have solid experience with or knowledge of quantum computing fundamentals, including the following: 1) postulates of quantum mechanics; 2) gate-based quantum computing; 3) quantum errors and error correction; 3) adiabatic quantum computing; and 5) quantum applications and NISQ-era.

more_horiz Read more
more_horiz Read less


Applied Quantum Computing I: Fundamentals

Undergraduate linear algebra, differential equations, physics, and chemistry.



  • Superconducting quantum platforms
  • Atomic/trapped-ion quantum platforms
  • Spin-based quantum platforms


Pramey Upadhyaya
Assistant Professor of Electrical and Computer Engineering
Purdue University

Mohammad Mushfiqur Rahman
PhD Student
Purdue University




Harvard University, the Massachusetts Institute of Technology, and the University of California, Berkeley, are just some of the schools that you have at your fingertips with EdX. Through massive open online courses (MOOCs) from the world's best universities, you can develop your knowledge in literature, math, history, food and nutrition, and more. These online classes are taught by highly-regarded experts in the field. If you take a class on computer science through Harvard, you may be taught by David J. Malan, a senior lecturer on computer science at Harvard University for the School of Engineering and Applied Sciences. But there's not just one professor - you have access to the entire teaching staff, allowing you to receive feedback on assignments straight from the experts. Pursue a Verified Certificate to document your achievements and use your coursework for job and school applications, promotions, and more. EdX also works with top universities to conduct research, allowing them to learn more about learning. Using their findings, edX is able to provide students with the best and most effective courses, constantly enhancing the student experience.

You are the designer of this MOOC?
What is your opinion on this resource ?