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PurdueX: 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.

This Course Includes
edx
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5 weeks at 7-8 hours per week
english
Online - Self Paced
course
PurdueX
About PurdueX: Applied Quantum Computing I: Fundamentals
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.
What You Will Learn?
- Postulates of quantum mechanics.
- Gate-based quantum computing.
- Quantum errors and error correction.
- Adiabatic quantum computing.
- Quantum simulation.
- Quantum machine learning.