Applied Quantum Computing I: Fundamentals (edX)

Applied Quantum Computing I: Fundamentals (edX)
Course Auditing
Categories
Effort
Certification
Languages
Undergraduate linear algebra, physics, and chemistry.
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Applied Quantum Computing I: Fundamentals (edX)
Learn the fundamental postulates of quantum mechanics and how they can be mapped onto present-day quantum information processing models, including computation, simulation, optimization, and machine learning.

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This fundamentals course is part 1 of the series of quantum computing courses and covers aspects from fundamentals to present-day hardware platforms to quantum software and programming. This course provides the essential foundations required to understand computing models built from the principles of quantum mechanics.

This course requires a minimal set of engineering and science prerequisites but will allow students to develop a physical and intuitive understanding of the topics.

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 before enrolling in the Hardware or the Algorithm and Software courses.

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


What you'll learn

- Postulates of quantum mechanics

- Gate-based quantum computing

- Quantum errors and error correction

- Adiabatic quantum computing

- Quantum simulation

- Quantum machine learning



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Course Auditing
617.00 EUR
Undergraduate linear algebra, physics, and chemistry.

MOOC List is learner-supported. When you buy through links on our site, we may earn an affiliate commission.