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Linear algebra
Enrollment in this course is by invitation only
A course that provides in-depth knowledge about various popular quantum algorithms used to solve linear systems of equations.
About this course
Designed for technical professionals, this course explores quantum algorithms for solving linear system of equations. Both variational algorithms, targeted towards current generation of quantum computers, and algorithms designed for fault tolerant quantum computers have been discussed. The course provides python implementation of such algorithms on toy problems including industry relevant examples.
Prerequisites
To succeed in this course, you should ideally first complete the Quantum technical foundations course or understand these prerequisites.
- Basic linear algebra: Solve systems of equations with matrices, eigenvalues and eigenvectors, linear transformations, and tensor products
- Calculus: Ordinary differential equation, Partial differential equation
- Python: Write and maintain reliable code and familiarity with Numpy or data-science packages
- Statistics and probabilities: Comprehend probability and other stochastic notions
Technical requirements
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