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Due to high demand, in addition to high school students and educators, we've opened the course to university students and members of the workforce.
Our goal is to make quantum computing education available to anyone who wants to learn. If you’d be unable to take the course without a scholarship, apply for one today. We’ll prioritize applicants with financial need or from a background that is traditionally underrepresented in STEM.
Quantum computing has the potential to change the world, and we want to make sure you’re prepared. Taught by quantum researchers at MIT and UC Berkeley, this award-winning course offers students an accessible, yet challenging, introduction to the field
of quantum computing, covering topics on quantum mechanics, quantum information and computation, and quantum hardware. Through guest lectures and talks, students will also have the chance to learn from quantum experts in industry
and academia, as well as join a global cohort of future quantum leaders.
Students have the option of participating in the first semester or two-semesters. Semester 1 will cover the Fundamentals of Quantum Computing. Semester 2 will cover Applications of Quantum Computing, going into Quantum Finance, Quantum Chemistry, and more.
Sept 18 - Dec 17, 2022
Sept 18, 2022 - April 16, 2023
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:
Additionally, office hours and homework review sessions, as well as guest talks and lab tours, will be held.
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 20,000 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. By taking this course, students develop foundational skills in quantum mechanics, quantum information and computation, and quantum algorithms and protocols. Through these topics, students strengthen their physics, math, and computer science skills, and even will have a chance to code on a real quantum computer. At the end of the course, students will work on a capstone project to apply what they've learned in the course and delve deeper into a topic of their choosing.
Thanks to IBM Quantum, full and partial scholarships are available for all students with financial need and those from traditionally underrepresented backgrounds in STEM. High school students and early undergraduates will be prioritized.
September 18, 2022* - April 16, 2023
Students will attend a weekly lecture and lab each week (many time options).
The only prerequisite is that students have taken a geometry class. No prior STEM experience or quantum knowledge is required or expected.
Semester 1 & 2:
Semester 1: $995
FULL SCHOLARSHIPS AVAILABLE**Thanks to our sponsor IBM Quantum, we have many FULL and partial scholarships available for high school and college students with financial need or from traditionally underrepresented backgrounds in STEM.
Applications are reviewed on a rolling basis through September 23, 2022.
Francisca Vasconcelos is currently an NSF PhD Research Fellow at the University of California, Berkeley, studying Computer Science. As a Rhodes Scholar, Francisca graduated from the University of Oxford in 2022 with dual MS degrees in Statistical Sciences and Philosophy of Physics. She graduated from MIT in 2020 with a BS in Electrical Engineering, Computer Science, and Physics.
Through undergraduate research in the MIT Engineering Quantum Systems group as well as internships at Rigetti Computing and Microsoft Research Quantum, Francisca has worked on quantum measurement of superconducting devices, statistical learning for error mitigation, machine learning for quantum, and radiation studies. Furthermore, Francisca is very interested in education, serving as a course instructor for MIT's winter-term Intro to Quantum Computing course for two years and leading The Coding School's Qubit by Qubit academic team.
Amir Karamlou is currently a Graduate Research Fellow at MIT Engineering Quantum Systems Lab and a recipient of the NSF Graduate Research Fellowship. Amir graduated from MIT with a B.S. in Physics and Electrical Engineering and Computer Science and an M.Eng in Electrical Engineering and Computer Science in 2018. His research motivation is to use quantum mechanics to gain an advantage over current technology and protocols. As an undergraduate he worked with Dirk Englund on control and high fidelity readout of NV centers in diamond.
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