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Quantum Computer Systems Design

Fred Chong, Jonathan Baker, Yongshan Ding, and Casey Duckering

This course explores the basic design principles of today's quantum computer systems. In this course, students will learn to work with the IBM QisKit software tools to write simple quantum programs and execute them on cloud-accessible quantum hardware.

Textbook: Quantum Computer Systems (QCS). Ding and Chong.

Topics covered in this course include:

What you'll learn

Learn examples of how classical software techniques can be applied to make quantum systems more reliable and efficient.
Learn how to think about the overall design of a quantum system and how the software and hardware work together.
Develop unique skills to be more competitive in seekinga position in quantum software development.

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What's inside

Three courses

Quantum Computer Systems Design II: Principles of Quantum Architecture

(40 hours)

This quantum computing course introduces the basic design principles of today's quantum computer systems. Students will learn to work with the IBM Qiskit software tools to write simple programs in Python and execute them on cloud-accessible quantum hardware. Topics covered include:

View more details for this course

Quantum Computer Systems Design III: Working with Noisy Systems

(40 hours)

This quantum computing course explores the basic design principles of today's quantum computer systems. Students will learn to work with the IBM Qiskit software tools to write simple programs in Python and execute them on cloud-accessible quantum hardware. Topics covered include:

View more details for this course

Quantum Computer Systems Design I: Intro to Quantum Computation and Programming

(40 hours)

View more details for this course

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Time

120 hours

Via

edX

Institution

University of Chicago

Instructors

Fred Chong

Jonathan Baker

Yongshan Ding

Casey Duckering

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