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Schmidt Decomposition


The Schmidt decomposition expresses a vector v in the tensor product of two finite-dimensional Hilbert spaces H_A and H_B as

 v=sum_(i=1)^rsigma_iu_i tensor w_i,

where the u_i form an orthonormal set in H_A, the w_i form an orthonormal set in H_B, and the Schmidt coefficients sigma_i are positive. The coefficients are uniquely determined up to order, and r is called the Schmidt rank.

After bases are chosen, the Schmidt decomposition is the singular value decomposition of the coefficient matrix of v.

In quantum information, a normalized pure bipartite state is unentangled exactly when its Schmidt rank is 1 (Nielsen and Chuang 2000).


See also

Basis, Coefficient Matrix, Hilbert Space, Orthonormal Set, Schmidt Coefficients, Schmidt Rank, Singular Value Decomposition, Tensor Product, Vector

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References

Nielsen, M. and Chuang, I. Quantum Computation and Quantum Information. Cambridge, England: Cambridge University Press, 2000.

Cite this as:

Weisstein, Eric W. "Schmidt Decomposition." From MathWorld--A Wolfram Resource. https://mathworld.wolfram.com/SchmidtDecomposition.html

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