Quantum Computing

Enrollment Now Closed
Introduction to Quantum Computing: Starts May 26, 2026

Cleveland State University's Introduction to Quantum Computing microcredential offers an accessible, hands-on exploration of quantum computing for learners with a foundational understanding of linear algebra and matrices. The course breaks down complex quantum concepts into intuitive, interactive modules that introduce the principles of quantum information science. Participants will investigate how quantum systems operate, why they differ from classical computing, and how they are poised to transform areas such as secure communication and cryptography.

Using web-based simulations and guided experiments, learners will model quantum behaviors, test algorithms, and gain a deeper understanding of the potential applications of quantum technologies. Delivered primarily online, the course includes a collaborative discussion board and optional in-person sessions for hands-on labs, Q&A, and networking.

May 26, 2026 Course Details

In-person sessions: June 11 (Thu) 6:00-7:30pm and July 16 (Thu) 6:00-7:30pm.

Credential Educational Goals:

Upon completing the micro-credential, learners will be prepared to:

• Develop foundational technical competency in quantum computing
• Interpret and communicate complex quantum concepts clearly and intuitively
• Recognize the emerging workforce impact of quantum technologies 

Learner Outcomes:

Upon completion of the credential program, the learner will have the ability to:

• Explain the differences between bits and qubits and describe how quantum information is represented.
• Apply 1-qubit and 2-qubit gate operations to build simple quantum circuits, demonstrating familiarity with fundamental quantum gate behavior.
• Describe and analyze the concepts of superposition and entanglement, including the ability to evaluate basic quantum state transformations.
• Explain and compare introductory quantum algorithms, such as the Deutsch and Grover algorithms, including their effectiveness relative to classical algorithms.
• Identify sources of noise in quantum systems and analyze the effectiveness of simple quantum error correction codes in mitigating these effects.
• Describe the implications of quantum computing for cryptography, including the ability to explain key concepts such as quantum teleportation and their relevance to secure communication. 

Recommended Prerequisites:

1) Math: Basic Linear Algebra and Probability
2) Programming (helpful, but not required)
3) Logical Thinking
4) Interest in Emerging Technologies.

Course Features

This self-paced micro-credential includes a comprehensive set of materials designed to support your learning and skill development:

• 30+ engaging lecture videos
• 20 detailed lecture notes
• 10 hands-on lab experiments
• 15 short quizzes for reinforcement
• 4 tests to assess your understanding
   

These resources provide structured, interactive, and in-depth instruction, whether you're exploring quantum computing for the first time or expanding your technical foundation.

Next Introduction to Quantum Computing: September 7, 2026 | Registration Opens June 1, 2026

Coming September 28, 2026: Quantum Optimization and Simulation 

Quantum optimization and simulation, focusing on QAOA and VQE, with several practical implementations, such as the Molecular energy problem, Protein structure analysis (HP model), Automotive suspension system optimization, and the Maxcut/Knapsack graph problem.

Module 1 – Background & Building Blocks 

Module 2 – Quantum Approximate Optimization Algorithm (QAOA)

Module 3 – Variational Quantum Eigensolver (VQE)

Module 4 – VQA Performance & Applications

Registration Now Open

Coming November 2026: Quantum Course 3
Quantum Key Distribution (QKD) & Error Correction/Mitigation 

Practical understanding of QKD protocols, error sources, quantum error correction, and mitigation strategies, with hands-on Qiskit experiments.

Module 1 – Quantum Communication Concepts and Security Principles

Module 2 – Advanced QKD Protocols

Module 3 – Quantum Error Sources & Correction

Module 4 – Error Mitigation & Real-World Applications

Registration Opens Summer 2026

Instructors

Dr. Chansu Yu, Professor, Electrical and Computer Engineering, CSU
216-687-2584 | c.yu91@csuohio.edu.

Dr. Mehdi Rahmati, Assistant Professor, Electrical and Computer Engineering, CSU
216-687-2538 | m.rahmati@csuohio.edu

Quantum Information Technology Advancement and Research (QUITAR)
Department of Electrical and Computer Engineering
Washkewicz College of Engineering
Cleveland State University

References

Bernhardt, C. (2019). Quantum Computing for Everyone. MIT Press.

Galetto, F., López, H. H., Rahmati, M., Sang, J., & Yu, C. (2024). “Experience in Teaching Quantum Computing with Hands-On Programming Labs.” The Journal of Supercomputing, 80, 14029–14056. Read the article

Sang, J., & Yu, C. (2023). Hands-on Quantum Programming Labs for EECS Students. arXiv:2308.14002v5