PurdueX: Applied Quantum Computing I: Fundamentals

769,00 

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.

Categories ,

769,00 

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.

Categories ,

Discover the Course

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.

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:

    Undergraduate linear algebra, physics, and chemistry.

  • Language: English
  • Video Transcript: English
  • Associated programs:
    • MicroMasters® Program in Quantum Technology: Computing and Sensing
  • Associated skills:Quantum Computing, Quantum Mechanics, Quantum Information

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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