QUANTUM COMPUTING ACADEMY
Two Programs (All full-online)
- Introduction to Quantum Computers
(Introductory, for beginners)
- Section 1: 6:00pm-8:00pm (EST), Tuesdays and Thursdays
- Exploring Quantum Computer Algorithms
(Advanced, for intermediates*)
- Section 2: 6:00pm-8:00pm (EST), Tuesdays and Thursdays
* For Section 2, students should have completed some prior quantum computing training, e.g., prior QCA course or the IBM Qiskit Summer School. A technological conversation with an instructor will be required to complete the registration process for Sections 2.
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(All times Eastern USA; day/times subject to change):
Need more information about the academy? Sign-up below for a free, online, non-committal information session with the instructor. Students, parents, teachers, and interested others are welcome.
Fee $275 per student/section
(Full and partial tuition scholarships may be available.)
Students will be guided—in a hands-on manner—through the mathematical foundations and programming basics necessary for basic programming of several different types of quantum computers. Students will be led through advanced mathematical topics, as necessary, for understanding the material and advancing through the course. In later sessions, the student will apply these basic skills towards exploring and solving complex problems, including understanding how today’s computer security is being threatened by the advancement of quantum computing. Students will run their own quantum programs both on quantum simulators and on actual quantum computers.
Students will be organized into teams for project work; so the learners so-develop their group skills and learn from one another — a skill that is critical in the advanced sciences.
The sessions are intended to be highly interactive with hands-on activities. When possible, guest speakers from industry may join selected meetings. Following the end of the weekday class meeting time, students will optionally have an extra hour of access to the instructor(s) for more interaction, if they choose. After-class parent/instructor student-progress conversations are welcome and urged.
Enrollment in each session may be limited to 12 students, to allow for greater personal attention to individual students. Each student will need regular access to an Internet-connected laptop computer with basic capabilities and ample disk space—Windows, Apple, or Linux—[more specific requirements are forthcoming]
At the conclusion, successful students will be awarded one of two Certificates, depending on their individual level of engagement with the material and activities:
Certificate of Participation
Certificate of Achievement
|Dr. Terrill Frantz, who has been programming computers since he was a 14-year-old. Recently, he has been organizing quantum computer clubs in high schools and universities for the IEEE and is deeply engaged with the Quantum Economic Development Consortium. Dr. Frantz’s passionate desire is to mentor those students who oppose being slave to the technology and instead seek to become a master over that technology….nerds, geeks, or normal people, alike.
|Alex Khan is an experienced business-technology executive with a demonstrated history of delivering results in the healthcare, insurance and financial verticals. Skilled in strategic planning, leading software product development, managing IT operations and conducting research.
Current involvement in quantum computing:
1. Developing 60 asset financial portfolio optimization solution using D-Wave quantum computer with the Chicago Quantum team under CEO Jeff Cohen.
2. Teaching Quantum Computing course at Harrisburg University (IBM-Q, D-Wave, Quantum Algorithms and Quantum Communication). Also developing a Fall course with Terrill Franz.
3. Collaboration with asst. professor Dr. Kunal Das and his team at Acharya Prafulla Chandra College, India on Optimization problem to minimize disruption due to COVID. Developing a formulation for D-Wave.
4. Technical reviewer of a Quantum Algorithms book to be published by Packt in Q1 2021.
5. Advisor to Qubit Engineering team developing Wind Farm Optimization using D-Wave.
More information can also be found at www.alignedit.com