Applied Quantum Computing II: Hardware (edX)

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.
This course is part of the Quantum Technology: Computing MicroMasters and Quantum Technology: Detectors and Networking MicroMasters.

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.

What you'll learn

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