To enroll in the "Requirements for LargeScale Universal Quantum Computing" course, it is recommended, but not required, to complete the MIT xPRO's Quantum Computing Fundamentals Program beforehand. However, if you have prior experience or knowledge in the fundamentals of Quantum Computing through your work or education, you may be eligible to start with this course. Please refer to the course schedule for detailed information about the topics covered.
There are a few suggested prerequisites for this course:

Linear Algebra:
 Knowledge of vector and matrix multiplication, as linear algebra is essential in quantum computing algorithms.
 Individuals who are interested in taking MIT xPRO's quantum computing programs may find it helpful to refresh their background in linear algebra using this free course: MIT Open CoursewareLinear Algebra

Quantum Physics:
 A refresher on quantum physics can be helpful for learners who want to enhance their understanding of quantum computing. The MIT Open Courseware  Quantum Physics I course can serve as a resource for this purpose.

Quantum Computing Programs:
 The course includes sections that utilize quantum computing programs like Qiskit as part of the IBM Q Experience. No prior background in Qiskit is expected, as the course provides the necessary guidance for learners.
By having a basic understanding of linear algebra and optionally refreshing knowledge of quantum physics, learners can better grasp the concepts and applications covered in the "Requirements for LargeScale Universal Quantum Computing" course.