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Applied Quantum Computing II: Hardware

Learn how present-day material platforms are built to perform quantum information processing tasks.

Applied Quantum Computing II: Hardware

There is one session available:

After a course session ends, it will be archived.
Starts Feb 14, 2022
Ends Mar 28, 2022
Estimated 6 weeks
7–8 hours per week
Instructor-paced
Instructor-led on a course schedule
Free
Optional upgrade available

About this course

Skip About this course

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.

Attention:

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.

At a glance

  • Institution: PurdueX
  • Subject: Engineering
  • Level: Advanced
  • Prerequisites:

    Quantum Computing I: Fundamentals (edX course)

    Undergraduate linear algebra, physics, and chemistry

What you'll learn

Skip What you'll learn
  • Superconducting quantum platforms
  • Atomic/trapped-ion quantum platforms
  • Spin-based quantum platforms

About the instructors

Who can take this course?

Unfortunately, learners from one or more of the following countries or regions will not be able to register for this course: Iran, Cuba and the Crimea region of Ukraine. While edX has sought licenses from the U.S. Office of Foreign Assets Control (OFAC) to offer our courses to learners in these countries and regions, the licenses we have received are not broad enough to allow us to offer this course in all locations. edX truly regrets that U.S. sanctions prevent us from offering all of our courses to everyone, no matter where they live.

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