Teaching

Quantum engineering education at FIU

Courses emphasize intuition, rigorous modeling, Python/Jupyter workflows, Qiskit, simulations, recorded modules, and no-cost materials through FIU's quantum-computing curriculum.

Open Quantum Computing Course

A complete sequence of quantum-computing lectures and assignments is available for instructors, students, independent learners, exam preparation, and technical interview review.

The repository includes self-contained Jupyter notebooks, current Qiskit examples, preserved figures, references, and progressively organized homework.

Browse the Lecture Course on GitHub

Courses and Mentoring

Undergraduate, graduate, special-topics, senior design, and dissertation research activities in quantum engineering and computational electromagnetics, including FIU's first undergraduate/graduate quantum-computing sequence.

EEE 4423: Introduction to Quantum Computers

Undergraduate introduction to quantum information concepts, circuits, gates, algorithms, and hands-on Qiskit workflows.

Recognized with FIU’s Affordability Counts medallion for eliminating required textbook costs.

EEE 6429: Advanced Quantum Computers

Graduate-level quantum computing with deeper treatment of algorithms, noise, hardware constraints, and simulation.

Recognized with FIU’s Affordability Counts medallion for eliminating required textbook costs.

EEL 6020: Numerical Analysis of Electrical Devices

Numerical methods and computational modeling for electrical devices, fields, resonators, and engineering systems.

EEL 6931: Quantum Technologies and Materials / Special Topics

Special topics in quantum technologies, materials, photonics, sensing, and emerging electromagnetic platforms.

Quantum Nanophotonics Special Topics

Advanced topics in light–matter interaction, nanophotonic resonators, metasurfaces, polaritons, and quantum optical systems.

Senior Design I and II

Faculty mentorship of Low-Cost Air Quality Kit (Fall 2023–Spring 2024; five students) and Handheld Moisture Tomography Device for Wall Inspection (2026–present; four students). Student teams and projects.

Teaching Tools

Courses use Qiskit, Python, Jupyter notebooks, simulations, recorded modules, and no-cost materials to make quantum engineering practical, reproducible, and accessible.

Research training and mentoring

Students practice technical reasoning, careful measurement, reproducible analysis, and clear scientific writing, with regular feedback and support for their career goals.

Design and validation

Projects begin with a focused research question and a reproducible baseline. Students test analytical and numerical predictions against measurements or independent calculations.

Reproducible records

Lab notebooks, raw data, calibration details, code versions, and figure scripts make results traceable and help collaborators build on them.

Scientific communication

Students develop figures, explain uncertainty, write methods, and present their findings through papers, seminars, posters, and research meetings.

Individual guidance

Regular discussions cover technical progress, research choices, and practical obstacles. Mentoring also supports fellowship applications and moves to new academic and industry roles.

Teaching development

More than 70 recorded modules support quantum-computing and electromagnetics courses. Course improvements include recorded explanations, Python and Qiskit exercises, and Ansys HFSS simulation assignments.

Student feedback

Overall student ratings for EEL 6020 on FIU’s 5-point SPOT scale increased from 2.84 in Fall 2021 to 4.56 in Fall 2025, with a high of 4.68 in Fall 2024. Feedback informs worked examples, programming exercises, and laboratory tutorials.

Conceptual learning

The Quantum Computing Conceptual Survey was used in EEE 4423 in Spring 2026, with comparisons to 878 students in 59 courses at 46 institutions.

Featured YouTube Lectures

Selected public lectures and teaching videos connected to QTM Lab research and quantum engineering education.

Introduction to Python for Physics

Python, Jupyter notebooks, plotting, arrays, and computational habits for physics and engineering workflows.

Dipole and Yagi-Uda Antennas Using ANSYS HFSS

Hands-on antenna simulation tutorial for electromagnetic modeling and RF design practice.

Electromagnetic Radiation and Antennas

Lecture coverage of radiation concepts, antenna behavior, and practical electromagnetic interpretation.

Six Postulates of Quantum Mechanics

Quantum-mechanics foundations for students entering quantum computing and quantum engineering.

Quantum Circuits, Two-Qubit Operations, and Entanglement

Quantum-circuit elements, multi-qubit operations, and the role of entanglement in quantum information.

Quantum Teleportation Algorithm

Algorithmic structure and circuit-level interpretation of quantum teleportation.

Quantum Nonreciprocity with Nonlinearity and Weyl Semimetals

Invited lecture recorded for Polytechnique Montréal, connecting nonlinear platforms, Weyl semimetals, and quantum-compatible nonreciprocal response.

Scattering Anomalies: Recent Breakthroughs and Quantum Applications

FIU KFSCIS seminar on scattering anomalies, embedded eigenstates, and quantum-relevant applications in resonant wave systems.