To enroll in the Quantum Computing Fundamentals Program, it is strongly suggested to have a basic knowledge of linear algebra, particularly vector and matrix multiplication. Linear algebra is fundamental to understanding the algorithms used in quantum computing. While the course material provides brief descriptions of the necessary aspects, it cannot replace pre-reading or prior coursework on the subject.
If you need to refresh your understanding of linear algebra, you can access a free Linear Algebra course on MIT OpenCourseWare. For those who would like a refresher on quantum physics, see Quantum Physics I on MIT OpenCourseWare.
It's important to note that the program covers quantum computing platforms such as Qiskit as part of the IBM Q Experience sections. However, there is no expectation that learners come with a background in Qiskit or any specific programming language.
While these prerequisites are strongly suggested, the courses in the Quantum Computing Fundamentals Program are open to participants regardless of their technical background. The program aims to provide a comprehensive introduction to quantum computing and its implications for business, and it covers the necessary concepts and tools within the program itself.