Virtual
Taught by
Stanford PhDs
Live
Instruction
Accredited
Course
Are you ready to embark on a journey into the future of computing? Join an international cohort of learners for Introduction to Quantum Computing, a groundbreaking two-semester course offered by The Coding School in partnership with Google AI. Designed to equip learners with the skills and knowledge necessary to lead the charge in quantum computing, this course promises an exhilarating exploration of quantum mechanics, computer science, and cutting-edge technology. To date, The Coding School has helped to prepare over 18,000 students with a practical understanding of quantum computing and its many applications.
In a world where quantum computing is poised to reshape industries and redefine possibilities, Introduction to Quantum Computing offers a gateway to this exciting frontier. Led by expert instructors, this course goes beyond traditional education, providing students with the tools and insights needed to thrive in the quantum era. From decoding the mysteries of superposition and entanglement to crafting quantum algorithms that outpace classical computing, students will emerge from this course not just as learners, but as pioneers shaping the future of technology. With a blend of theoretical knowledge, practical skills, and real-world applications, Introduction to Quantum Computing is more than just a course – it's a transformative journey into the heart of innovation. Join us and discover what lies beyond the limits of classical computation – the quantum realm awaits!
After taking this course...
of students would recommend the course to a friend or classmate.
of students are more likely to take additional courses in quantum information science and engineering (QISE).
of students are interested in pursuing a career in QISE-related field.
Whether you want to be a politician, public health researcher, or quantum engineer, everyone will need to have a foundational understanding of quantum computing. That's why we're committed to making the course as accessible as possible and do not require prior quantum or programming experience.
The course consists of three weekly components:
Lecture
Hands-on Lab
Homework
Additionally, office hours and homework review sessions, as well as guest talks and lab tours, will be held.
Upon completion of the course, students will be presented with a certificate of completion
This course is open to high school students and educators, university students, and members of the workforce.
Our goal is to help students understand more about this fascinating field and be at the forefront of this technology, so they are prepared for the future of work and positioned in the most positive way possible for college and beyond.
This course is accredited by the Western Association of Schools and Colleges (WASC) and approved by the University of California A-G as a college preparatory course. Students from more than 150 high schools in the U.S. received credit last year for completing the course and you can too with your school's approval. To see if you can receive credit, please email us, and we will send more information.
With over 18,000 alumni of this course, we've developed the most accessible, comprehensive, and in-depth introductory course on quantum computing for high school students and above.
In Semester 1, the course focuses on laying the foundational knowledge and skills necessary for understanding quantum computing. Students explore fundamental concepts such as qubits, quantum gates, and basic quantum algorithms. Through these topics, students strengthen their physics, math, and computer science skills.
Semester 2 builds upon this foundation by exploring near-term quantum computing, delving deeper into advanced topics and practical applications of quantum computing, including an understanding of quantum hardware and current applications. Additionally, Semester 2 introduces students to the mathematical underpinnings of quantum computing and explores advanced topics such as quantum networking, sensing, and machine learning. The semester culminates in a Capstone Project where students apply their knowledge and skills to showcase their understanding of quantum computing concepts.
September 2025 - April 2026
Algebra I
Details coming soon
Full and partial scholarships are available for students with financial needs
Scholarship application deadline is August 31, 2025
To enroll, students are required to complete a short registration form with basic information, pay tuition in full up front, or sign up for a payment plan. If you are unable to afford the cost of tuition, you can request a full or partial scholarship and complete the application from the same form.
Thanks to our partnership with Google's Quantum AI, limited scholarships funds are available to cover the cost of tuition for eligible students that exemplify need and alignment with The Coding School’s mission. Students from traditionally underrepresented backgrounds in STEM are encouraged to apply. The deadline to apply for a scholarship is August 31, 2025. Scholarship awardees will be notified by September 10, 2025.
Completing an application does not guarantee that an applicant will receive a scholarship. Scholarships will be distributed using a lottery system on a rolling basis until the application closes on August 31, 2025. Applicants will be notified by September 10, 2025 at the latest of one of three possible outcomes: scholarship recipient, waitlist, or not selected for a scholarship. If selected, recipients will have 5 business-days to accept their spot and complete associated requirements. If waitlisted, applicants will be contacted if a recipient does not accept their scholarship, or if additional scholarships are funded.
Interest Form
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.
(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.
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.