Course created by quantum researchers at:
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.
Over 1,000 FULL scholarships available - apply today!
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.
Course Overview
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.
1 Semester Course
Sept 18 - Dec 17, 2022
or
Academic-Year Course
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:
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 signed by
Qubit by Qubit and IBM Quantum.
Virtual
Taught by
MIT PhDs
Live
Instruction
Accredited
Course
High School Benefits
While this course is open to high school students and above, 9th - 12th graders have the opportunity to be among the first high school students in the world to develop skills in quantum computing -
the technology of the future!
Additional Benefits
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.
- Meet with industry leaders and quantum experts who are shaping the field of quantum
- Be among the first high school students in the world to learn quantum computing
- Alumni opportunities for internships and quantum research
- Increase college competitiveness
- Earn high school transcript credit
Earn high school credit while learning quantum computing!
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.
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.
What Students Learn
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.
- Foundational topics in quantum mechanics, including qubits, superposition, and entanglement
- Math for quantum computing, including basic linear algebra so students can calculate the probabilistic outcomes of their quantum circuits
- Quantum programming in Qiskit, a Python library for quantum computing
- Quantum algorithms and protocols, including implementing quantum key distribution (QKD) and Grover’s algorithm, as well as running a Variational Quantum Eigensolver (VQE) to simulate a molecule
We're on a mission to ensure the future quantum workforce is diverse and inclusive.
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.
This has been one of the most amazing courses I have ever taken (online or in-school). From the staff to the student body, everyone I have interacted with has been very friendly, helpful, and encouraging. The course provided a great depth of knowledge and a strong introduction to such a new and vast field. I also feel more compelled to pursue quantum to a higher level in order to work on quantum implementation in the future
- Ketan, high school student
Our Sponsor
We are grateful for the support of IBM Quantum who is helping ensure quantum education is accessible to all students—regardless of socioeconomic background.
Logistics
Grades
- Incoming 9 - 12th graders and gap year students
- College students
- Members of the workforce
Dates
September 18, 2022* - April 16, 2023
Students will attend a weekly lecture and lab each week
(many time options).
Prerequisites
The only prerequisite is that students have taken a geometry class. No prior STEM experience or quantum knowledge is required or expected.
Cost
Semester 1 & 2:
$1195
OR
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.Details
- Take 1 or 2 semesters of the course
- 3-5 hours per week commitment
-
Weekly lectures and interactive labs
with TA's held live via Zoom -
Multiple times to accommodate
schedules
Application Deadline
Applications are reviewed on a rolling basis through September 23, 2022.
Lead Instructors
Francisca Vasconcelos
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.
Read More
Amir Karamlou
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.
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