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Linear algebra for advanced studies
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Module 8
Tensor Products for Composite Systems
1
Tensor Products and Their Dimensions
Define the tensor product of two vector spaces and compute the dimension of the resulting space.
2
Tensor Product of Vectors
Construct the tensor product of two vectors (Kronecker product for column vectors).
3
Matrix Representation of Tensor Products
Construct the matrix representation of a tensor product of two linear operators.
4
Separable vs. Entangled States
Define and distinguish between separable and entangled states in a tensor product space.
5
Representing Multi-Qubit Systems with Tensor Products
Apply tensor products to represent the states of a multi-qubit system.
6
Tensor Products for Multi-Qubit Operators
Apply tensor products to represent operators on a multi-qubit system, such as the CNOT gate.
Previous module
Applications in Data Analysis
Next module
Matrix Calculus and Optimization