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Applied Quantum Computing I: Fundamentals

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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Applied Quantum Computing I: Fundamentals

There is one session available:

4,193 already enrolled!
After a course session ends, it will be archivedOpens in a new tab.
Starts Jan 9, 2023
Ends Feb 13, 2023

Applied Quantum Computing I: Fundamentals

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.

Applied Quantum Computing I: Fundamentals
6 weeks
7–8 hours per week
Instructor-paced
Instructor-led on a course schedule
Free
Optional upgrade available

There is one session available:

After a course session ends, it will be archivedOpens in a new tab.
Starts Jan 9, 2023
Ends Feb 13, 2023

About this course

Skip About this course

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.

At a glance

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

    Undergraduate linear algebra, physics, and chemistry.

What you'll learn

Skip 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

About the instructors

Who can take this course?

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