course
Linear Algebra
Brilliant.org
1 course · 3 tutorials
course
Brilliant.org
The essential linear algebra you need for quantum computing: vectors, matrices, tensor products, and inner products, explained with quantum computing in mind.
Master the linear algebra underlying quantum computing: Dirac notation, inner products, tensor products, Hermitian and unitary matrices, eigenvalues, and partial trace, all with numpy examples.
Understand quantum gates as 2x2 unitary matrices, see the explicit matrices for X, Y, Z, H, S, and T gates, and learn how matrix multiplication corresponds to running gates sequentially.