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ECE 733Quantum Machine Learning

Units
0.50
Level
Graduate
Faculty
Engineering
Subject
Electrical and Computer Engineering

ECE 733 as listed in the Fall 2025 Graduate Calendar. The main page has the current version, when it runs, and seats.

This course introduces basic classical and quantum machine learning algorithms for solving real-life problems. Classical machine learning algorithms are programmed using modern software platforms. The elements of quantum circuits (qubits, single-qubit gates, two-qubit gates, and quantum operators) are introduced. A quantum programming language is used to implement quantum machine learning algorithms. Then, hybrid classical and quantum algorithms are studied and programmed using quantum simulators and/or real quantum computers.

Prerequisites

None listed.

Antirequisites

  • Not completed nor concurrently enrolled in:

Leads to

No course lists it as a requisite.

Check it elsewhere for Fall 2025

Calendar versions

Graduate Calendar

Older Graduate Calendars

In 15 terms, Fall 2006 to Spring 2011