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Quantum Computing Explained
book

Quantum Computing Explained

by David McMahon
December 2007
Intermediate to advanced
332 pages
7h 28m
English
Wiley-IEEE Press
Content preview from Quantum Computing Explained

4

TENSOR PRODUCTS

In quantum mechanics we don’t always work with single particles in isolation. In many cases, some of which are seen in the context of quantum information processing, it is necessary to work with multiparticle states. Mathematically, to understand multiparticle systems in quantum mechanics, it is necessary to be able to construct a Hilbert space H that is a composite of the independent Hilbert spaces that are associated with each individual particle. The machinery required to do this goes by the name of the Kronecker or tensor product. We consider the two-particle case.

Suppose that H1 and H2 are two Hilbert spaces of dimension N1 and N2. We can put these two Hilbert spaces together to construct a larger Hilbert space. We denote this larger space by H and use the tensor product operation symbol ⊗. So we write

image

The dimension of the larger Hilbert space is the product of the dimensions of H1 and H2. Once again, we assume that dim(H1) = N1 and dim(H2) = N2. Then

image

Next we start getting down to business and learn how to represent state vectors in the composite Hilbert space.

REPRESENTING COMPOSITE STATES IN QUANTUM MECHANICS

A state vector belonging to H is the tensor product of state vectors belonging to H1 and H2. We will show how to represent such vectors explicitly ...

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Publisher Resources

ISBN: 9780470096994Purchase book