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ECE 733Quantum Machine Learning

Units
0.50
Level
Graduate
Faculty
Engineering
Subject
Electrical and Computer Engineering

When it runs

  1. F24
  2. W25
  3. S25
  4. F25
  5. W26
  6. S26
  7. F26
  8. W27
  9. S27

Ran in 1 of the last 7 terms. Winter 2027: scheduled, 1 lecture section. Spring 2027: schedule not out yet.

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.

Winter 2027 sections

Enrolment from UW Open Data, which can trail Quest by up to two days. Instructors and rooms: Schedule of Classes.
SectionClassEnrolledMeets
LEC 00177610 / 10W 13:00–15:50

Check it elsewhere for Fall 2026

Calendar versions

Graduate Calendar

Older Graduate Calendars

In 15 terms, Fall 2006 to Spring 2011