Quantum Architecture: Principles of Quantum Design
This course is part of Quantum Computer Systems Design.
Master the principles of quantum computer systems in this comprehensive 4-week course. You'll learn to work with IBM Qiskit software tools to write Python programs and execute them on cloud-accessible quantum hardware. The curriculum covers essential topics including systems research in quantum computing, fundamental quantum computing rules, quantum gates execution, NISQ algorithms, quantum processor microarchitecture, and quantum program compilation. Through hands-on experience with real quantum systems, you'll develop practical skills in quantum software development that bridge theoretical concepts with applied programming. Perfect for advanced learners looking to deepen their understanding of quantum computing architecture and implementation.
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What you'll learn
Understand design principles of full-stack quantum software design
Apply classical software techniques to improve quantum hardware reliability and performance
Work with IBM Qiskit to write and execute quantum programs on cloud hardware
Master quantum program compilation and qubit memory management techniques
Develop skills for quantum processor microarchitecture including classical and quantum control
Gain expertise in NISQ algorithms for intermediate-scale quantum computers
Skills you'll gain
This course includes:
PreRecorded video
Graded assignments, exams
Access on Desktop, Mobile, Tablet
Limited Access access
Shareable certificate
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Top companies provide this course to enhance their employees' skills, ensuring they excel in handling complex projects and drive organizational success.
There are 3 modules in this course
This advanced course on quantum computer systems design explores the architecture and implementation of quantum computing platforms. Starting with fundamentals, students learn quantum computing principles including Bloch Sphere and Feynman Path Sum. The course covers sequential and parallel execution of quantum gates, EPR pairs, no-cloning theorem, and quantum teleportation. Students work with NISQ (near-term intermediate scale quantum) algorithms while exploring quantum processor microarchitecture including classical and quantum control systems. The curriculum includes quantum program compilation techniques and qubit memory management. Throughout the course, students gain practical experience using IBM's Qiskit software to write and execute quantum programs on actual cloud-accessible quantum hardware, bridging theoretical knowledge with real-world implementation.
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
Payment options
Financial Aid
Instructors
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.
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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Frequently asked questions
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