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Aleksandr (Alex) Krasnok, PhD Dr. Aleksandr Krasnok is an Assistant Professor in the Department of Electrical and Computer Engineering at Florida International University, with a focus on photonics, quantum optics, and electrodynamics. His tenure at the CUNY Advanced Science Research Center (ASRC) from 2018 to 2021 was crucial in advancing his career. As a Research Assistant Professor and Core ...

Fall 2024 EEE4423: Introduction to Quantum Computers

Lecture 3 of EEL 6020 covers the fundamentals of Time-Varying Magnetic Fields, Eddy currents, transformers

Lecture 2 of EEL 6020 covers the fundamentals of magnetostatics and inductance, including magnetic fields, magnetic materials, and inductance principles.

This lecture introduces Python fundamentals and Jupyter Notebooks, covering concepts like launching a notebook, using code and markdown cells, and writing formulas with LaTeX. It explores variable types, arithmetic, Boolean operations, and functions. Additionally, it demonstrates loops, conditionals, plotting, and arrays for physics-related applications, including vector operations and Fourier ...

A video tutorial for performing the simulation in ANSYS Maxwell 3D

Capacitance and Capacitors

On August 28, 2024, Dr. Aleksandr Krasnok delivered the first lecture of EEL 6020 at FIU, covering the basics of electromagnetism, with a focus on electrostatics and capacitors. The lecture introduced key concepts, including electric and magnetic fields, electric potential, and the function of capacitors. This foundational overview prepared students for the numerical analysis techniques to be c...

In this presentation at the IEEE RAPID conference, Dr. Alex Krasnok from Florida International University delves into the revolutionary concept of complex frequency excitations in photonics. Starting with a historical perspective that links Benjamin Franklin's contributions to electromagnetism and the acceptance of negative numbers, Dr. Krasnok explores the essential role of complex numbers in ...

Quantum Photonics: Lecture #3: Quantum Transitions, Selection Rules, Purcell Effect

Lecture 12: Superconducting Qubits. Conclusions. Learning Activities: Exploring real-world quantum computer architectures.

Quantum Computing 2.0 | Lecture 1 Lecture 11: What Is Required to Build a Quantum Computer? Elements of Photonic Quantum Computers Learning Activities: DiVincenzo criteria. Review of photonic quantum computing.

Lecture 10: Grover's Search Algorithm (2); Deutsch's Algorithm; Other Quantum Algorithms Learning Activities: Analysis of Deutsch's algorithm and an overview of various other quantum algorithms.

Lecture 9: Quantum Teleportation Algorithm; Grover's Search Algorithm (1) Learning Activities: Detailed study and implementation of the quantum teleportation algorithm and Grover's search algorithm.

Quantum Computing 2.0 | Lecture 8

Quantum Computing 2.0 | Lecture 7

Quantum Computing 2.0 | Lecture 6

Quantum Computing 2.0 | Lecture 5

Quantum Computing 2.0 | Lecture 4

Quantum Computing 2.0 | Lecture 3

Quantum Computing 2.0 | Lecture 2

Quantum Computing 2.0 | Lecture 1

ANSYS Tutorial - 3 (HFSS, microstrip patch antenna)

EEE 4423 - Introduction to Quantum Computers - Lecture #14

ANSYS Tutorial - 2 (Maxwell 3D, transformer, transient)

EEE 4423 - Introduction to Quantum Computers - Lecture #13

ANSYS Tutorial - 1 (Maxwell 3D, coils, magnetostatics)

EEE 4423 - Introduction to Quantum Computers - Lecture #12

EEE 4423 - Introduction to Quantum Computers - Lecture #11