Introduction to Quantum Computing 2024-25

For High Schools (Grades 9-12)

FREE for School Partners

September 2024 - April 2025



Taught by
Stanford PhDs


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

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

The content in this course is cutting edge, and frankly it is incredible that we are given the opportunity to access it.  As a teacher and student in the course, I am learning how quantum will impact our world in the years to come. It is important that we teachers are providing our students with the skills necessary to thrive, and I feel this quantum computing course does just that.”

- Amanda Giuliani, STEM Coordinator and Teacher, Longmont, Colorado

Trusted by 300+ School Districts and Schools Across the United States

2023 - 2024 Lead Instructors

(2024 - 2025 instructors anounced soon)

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.

Meet some of our Teaching Assistants


Engineer, QuEra Computing


PhD student, MIT


PhD student, Duke


Undergraduate, North Carolina State


PhD student, University of Waterloo


Graduate student, Colorado School of Mines


Technology at PNC Bank


PhD student, MIT


Undergraduate, University of Connecticut


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.



Incoming 9 - 12


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


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.


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


Hear from our Students