Introduction to Quantum Computing 2024-25

For High Schools (Grades 9-12)

FREE for School Partners

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Virtual
Program

Taught by
Stanford PhDs

Live
Instruction

Accredited Course

Be one of the first high schools to give transcript credit for Quantum Computing!

Qubit by Qubit Introduction to Quantum Computing Course is accredited by the Western Association of Schools and Colleges and is University of California A-G approved as a college preparatory course.

About the Program

We're looking for innovative high school partners who are interested in being one of the first schools in the world to offer a course in quantum computing.

Our partner schools provide their students with academic credit for completing this first-of-its kind STEM course, and are able to enroll their students for FREE. The course is virtual and taught by Qubit by Qubit's instructors from leading universities. Students will learn foundational quantum computing skills, run code on a real quantum computer, and hear from leading academic and industry quantum experts.

Bring this course to your school for free

"Qubit by Qubit has given me a once-in-a-lifetime opportunity to become a part of the future. Taking this course was possibly the best decision of my life. Thank you to everyone at IBM Quantum and Qubit by Qubit, you have changed my life and given me friends for life."

- Oliver, Grade 10, U.K.

What students learn

In Week 1, students will:

Through two semesters of weekly lectures, lab sections, and homework assignments, students will develop a foundational understanding of quantum computing, including basic linear algebra, quantum mechanics, quantum computation and information, and quantum algorithms.

Students will spend the first half of the course developing skills in math, including linear algebra, and Python. The second half of the course will focus on coding quantum circuits and quantum algorithms, leading to students coding on a real quantum computer.

Some of the topics covered include:
  • Learn how to code in Python, a programming language, and how to use Python for quantum computing
  • Develop foundational linear algebra knowledge, including vectors and matrices, and learn how these concepts relate to quantum
  • Implement Python libraries to code quantum circuits and quantum algorithms, including Grover's algorithm
  • Learn more about the intersection of quantum and cyber security by carrying out a quantum cryptography protocol, quantum key distribution (QKD), in Python
  • Run a Variational Quantum Eigensolver to simulate a molecule
  • Learn how to code in Python programming language, and how to use Python for quantum computing

This course is not only fascinating but was a big help in applying to university... I highly recommend learning about quantum computing in high school, it's an opportunity we've never been able to have before, and as I've learned, it is not only incredibly interesting but has the potential to affect anything, from chemistry to climate change, so this will be useful no matter what subject you're interested in!”

- Sophie, Grade 12, U.K.

Trusted by 175+ School Districts and Schools Across the United States

Lead Instructors

Dr. Connie Hsueh

Dr. Connie Hsueh

(she/her) is a Congressional Science Fellow with the American Institute of Physics. She completed her PhD in Applied Physics at Stanford in 2023 with a research focus on semiconductor physics and nanoscience. She also holds advanced degrees in Physics from Caltech (B.S.) and University of Cambridge (MPhil). Outside of quantum technology, she is interested in science policy, scientific ethics, traveling, and water polo.

Dr. Derrick Boone Jr.

Dr. Derrick Boone Jr.

(he/him) has a varied career journey to date including: military service, physics research, consulting, and work at a biotech startup. He holds degrees in Physics from MIT (B.S.), Johns Hopkins University (M.S.), and Stanford University (PhD). Today, he teaches mathematics full-time at an all-girls high school in California. He is excited to help train the next generation of technology leaders.

Teaching
Assistants

Corbin
Engineer, QuEra Computing

Agnes
PhD student, MIT

Filip
PhD student, Duke

Sanskriti
Undergraduate, North Carolina State

Alev
PhD student, University of Waterloo

Joshua
Graduate student, Colorado School of Mines

Ilana
Technology at PNC Bank

Emma
PhD student, MIT

Richard
Undergraduate, University of Connecticut

Shayda
Undergraduate, MIT

Our Sponsor

Google Quantum

We are grateful for the support of Google Quantum AI who is helping ensure quantum education is accessible to all students—regardless of socioeconomic background.

Logistics

Grades

Incoming 9 - 12

Dates

September 2024 - April 2025
Orientation & pre-course sessions start Sept 2024.

Cost

FREE to schools offering students credit.
Can't offer credit? Let us know when you submit the registration form, and we'll be in touch if we are able to open registration
more widely.

Prerequisites

The only prerequisite is that students have taken a geometry class. No coding experience required.

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Hear from our Students