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IBM’s Quantum Computer Programming: Hands-On Workshop (Asynchronous)
Practical Quantum Programming
100% online course
https://quantgates.com/learn-quantum
This course offers a comprehensive introduction to quantum computing, starting from the basics and progressing to advanced algorithm design and implementation. No prior knowledge of quantum computing or quantum physics is required, though familiarity with matrix-vector multiplication is expected. The course will guide you through the mathematics of quantum computing, the creation of quantum gates and circuits, and the implementation of the Quantum Approximate Optimization Algorithm (QAOA) on IBM's quantum computers. With a focus on practical applications, this asynchronous course is suitable for beginners and experienced programmers alike. It is an course taught on Canvas, Asynchronous. Cost $24.00. A certificate is earned and awarded.
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Thankgsgiving Break Picnic! All students and faculty, Join Us! When: Saturday, November 30th |
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More Undergraduate and Graduate Student Opportunities
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This program is designed to provide a foundation for mathematical work in scientific or technical fields as well as for doctoral study in mathematics. It should normally take a full-time student two years to complete.
A Bachelor's degree in Mathematics (or equivalent coursework) with at least 3.0 GPA (or equivalent), three letters of recommendation documenting the applicant's prior work in mathematics focusing on preparation and suitability for success in graduate-level mathematics courses, a quantitative general GRE (revised) score of at least 155, and approval of the departmental graduate committee. In addition, it is recommended to include scores of the GRE subject test mathematics as part of the application package.
If your undergraduate major is not in Mathematics, see our Frequently Asked Questions page for a list of required prerequisite coursework.
Interested in the Master of Science in Teaching? Click here.
Click here for detailed application steps: application information.
* As with all degree programs, the authoritative source for the degree requirements is the University Catalog that was in effect for the academic year in which the student entered the University. The information on this page does not supersede the Catalog.
For information about the PHD, MS, and AMST programs contact
Prof. Hongwei Long, Graduate Director, at mathgraduate@fau.edu
Department of Mathematics and Statistics
Florida Atlantic University
777 Glades RD
Boca Raton, FL 33431