Introduction
to Programming Quantum Algorithms in IBM Qiskit
This page: https://ewh.ieee.org/r2/baltimore/continuing_education/Web_Ad_Quantum_Algorithms_2026.htm
This is an in-person course.
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The Baltimore Section of the IEEE
is organizing and sponsoring a series of online and in-person courses for
group or individual participation, all eligible for CEU credits. The next
course is planned for June 6, 2026. The Baltimore Section of the IEEE
extends this invitation also to members of neighboring IEEE sections in
Region 2, who can participate under the same conditions. |
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Date: |
June 6, 2026 (Saturday) |
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Start time: |
10:00 am (please arrive by 9:45 am) |
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End time: |
2:00 pm |
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Location: |
Johns Hopkins University, Homewood Campus 3400 N Charles St Baltimore, MD, 21218 Building: Clark Hall |
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Course Provider: Baltimore IEEE Photonics
chapter in collaboration with Educational Activities, Baltimore Section of the
IEEE
The course is sponsored
by a grant from the IEEE Photonics Society awarded to the Baltimore IEEE
Photonics chapter
Credits: 0.4 CEU / 4 PDH
Course
Program Length: 4 hours
A parking permit will be provided for
registered attendees.
Course Program
Description
Audience
- Basic understanding of Python
Total
Duration: 4.0 Hours
Course Summary: In this course, you
will learn the basics of modern quantum computing and gain exposure to software
used to analyze and simulate quantum algorithms. Part 1 of the course will
begin with an introduction to quantum gates and circuits after a brief
refresher on quantum mechanics. We will then dive into modern quantum
algorithms used in machine learning, molecular/material simulation, and
combinatorial optimization. By the end of Part 1, you will be able to construct
and analyze quantum circuits. Furthermore, you will be able to translate
example quantum algorithms into quantum circuits.
The second part of
the course will focus on gaining hands-on experience with implementing quantum
circuits and algorithms using IBM’s Qiskit API.
Through Qiskit, you will learn to construct,
simulate, and analyze quantum circuits. This will include a discussion of noisy
emulators used to mimic hardware dynamics. The course will finish with a brief
introduction to executing quantum circuits on quantum hardware. By the end of
Part 2, you will be able to leverage Qiskit to
construct quantum algorithms and analyze their behavior in simulated and
experimental environments.
The course will
include the following:
Part 1: Fundamentals
of Quantum Computing and Quantum Algorithms
o Overview of
Quantum Mechanics
o Introduction to
Quantum Gates and Quantum Circuits
o Variational
Quantum Algorithms
o Simulating
Quantum Dynamics
Part 2: Introduction
to IBM’s Qiskit
o Building,
Simulating, and Analyzing Quantum Circuits
o Leveraging Noisy
Simulators
o Executing
Circuits on Quantum Hardware
Attendee Requirements: Attendees will need to bring laptops with python, Qiskit, and Jupyter Lab or Jupyter Notebooks installed. Please download the python of
your choice and create an environment to install the latest version of Qiskit and Jupyter (preferably
Lab). Test the installation ahead of time by opening Jupyter
and creating a notebook. Try to import Qiskit to
check that the installation has completed correctly.
Important:
Course attendees are welcome to bring their own laptops for
the hands-on activities during this course
There will be a short lunch break for questions and
networking
Upon successful completion of this course program, you are eligible to receive a digital certificate in PDF format that can be shared on LinkedIn and other social networks (please see below):
Who
Should Attend: Computer engineers, data scientists, data
engineers, software developers, students, business executives, industry
executives, industry leaders, business leaders, technical managers, and
similar professionals.
Instructor
Bio: Dr. Gregory Quiroz is a principal
scientist at the Johns Hopkins University Applied Physics Laboratory. In
addition, he is an associate research professor in the Department of Physics
and Astronomy at Johns Hopkins
University. Dr. Quiroz received his PhD from the University of Southern
California in 2013, where he studied
quantum control and adiabatic quantum computation. Thereafter, he transitioned
to a role as a staff scientist at the Aerospace Corporation in Los Angeles, CA.
His research focused on quantum communication and quantum algorithm development
for National Security Space applications. Since
2016, he has been a senior scientist at the Johns Hopkins University Applied
Physics Laboratory, where he now also holds the role of supervisor for the
Applied Quantum Sciences section within the R&D
sector of the lab. His current research interests include quantum
characterization and control, applications of
quantum control to quantum algorithm design, and quantum sensing.
Course registration FEES (to be paid through vTools upon registration):
We
expect attendees to cover the following minimal costs at vTools
during registration:
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Colleague
pays at registration |
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All IEEE members (incl. student members) |
$10.00 |
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Non-members of the IEEE |
$20.00 |
The course is eligible for 0.4 CEUs equivalent to 4
PDHs. Upon successful completion and completing the evaluation form,
participants will be eligible to receive a digital certificate at no additional cost.
https://events.vtools.ieee.org/m/543725
Important: We will need each participant's name and email address. Please provide only one email address (the
one where you would like your certificate to be sent to)!
A parking
permit will be provided for registered attendees.
For more information email
to: