Quantum Computing: Introduction to Quantum Systems
This course is part of Quantum Computer Systems Design.
This comprehensive course delves into the fundamental design principles of modern quantum computing systems. Students will gain hands-on experience using IBM Qiskit software tools to write Python-based quantum programs and execute them on actual cloud-accessible quantum hardware. The curriculum covers essential topics including systems research in quantum computing, fundamental quantum computing rules, Bloch Sphere, Feynman Path Sum, sequential and parallel quantum gate execution, EPR pairs, the no-cloning theorem, and quantum teleportation. Additionally, students will explore medium-size algorithms for NISQ (near-term intermediate scale quantum) computers, quantum processor microarchitecture with classical and quantum control, quantum program compilation, and qubit memory management. The course provides a perfect balance of theoretical knowledge and practical skills, making it ideal for those looking to develop expertise in this cutting-edge technology field and enhance their career prospects in quantum software development.
4
(7 ratings)
Instructors:
Fred Chong
Jonathan Baker
English
English
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What you'll learn
Understand design principles of full-stack quantum software design
Identify and address quantum system inefficiencies
Apply classical software techniques to improve quantum hardware reliability
Enhance quantum systems efficiency through software optimization
Analyze how quantum software and hardware work together as integrated systems
Develop practical skills in writing quantum programs using IBM Qiskit
Skills you'll gain
This course includes:
PreRecorded video
Graded assignments, exams
Access on Desktop, Mobile, Tablet
Limited Access access
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There are 3 modules in this course
This advanced course offers a comprehensive introduction to quantum computing systems design, focusing on both theoretical principles and practical implementation. Students will learn the fundamental rules of quantum computing including the Bloch Sphere and Feynman Path Sum while gaining hands-on experience with IBM's Qiskit software tools. The curriculum covers essential aspects such as quantum gates, EPR pairs, the no-cloning theorem, and quantum teleportation. Students will explore algorithms for NISQ computers, quantum processor microarchitecture, program compilation, and qubit memory management. The course balances theoretical knowledge with practical programming skills, enabling students to write quantum programs in Python and execute them on real quantum hardware via cloud access. This foundation prepares students for advanced work in quantum computing systems and software development.
Intro to Quantum Computation and Programming
Module 1
Principles of Quantum Architecture
Module 2
Working with Noisy Systems
Module 3
Fee Structure
Individual course purchase is not available - to enroll in this course with a certificate, you need to purchase the complete Professional Certificate Course. For enrollment and detailed fee structure, visit the following: Quantum Computer Systems Design
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Instructors
Fred Chong
4 Courses
Quantum Computing Expert
Fred Chong is the Seymour Goodman Professor of Computer Architecture at the University of Chicago and Chief Scientist at Super.tech. He leads the EPiQC Project, an NSF Expedition in Computing focused on enabling practical-scale quantum computing. Chong has a Ph.D. from MIT and extensive experience in computer architecture, quantum computing, and sustainable computing. He has received numerous awards, including the Intel Outstanding Researcher Award, NSF CAREER award, and recognition as an ACM and IEEE Fellow. His research spans emerging technologies for computing, multicore architectures, computer security, and quantum systems design.
Jonathan Baker
4 Courses
Quantum Computing Researcher
Jonathan Baker is a Ph.D. candidate at the University of Chicago, advised by Prof. Fred Chong. He holds dual B.S. degrees in Chemistry, Mathematics, and Computer Science from the University of Notre Dame. His research focuses on quantum compilation, logic synthesis, and architectural design for fault-tolerant and near-term quantum computers. Recognized with two IEEE Micro Top Picks awards, Baker has contributed significantly to advancing quantum systems and has been supported by the McCormick Fellowship.
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4 course rating
7 ratings
Frequently asked questions
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