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Vectors and Matrices
Master vectors, matrices, transformations, and eigenvalues, the essential mathematical foundation for quantum computing, machine learning, and physics.
vectors
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Linear Algebra for Quantum Computing: Vectors, Matrices, and Inner Products
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.
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- beginner
- 35 min
Linear Algebra for Quantum Computing
The essential linear algebra you need for quantum computing: vectors, matrices, tensor products, and inner products, explained with quantum computing in mind.