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arXiv · 1106.4254

Dynamic learning of pairwise and three-way entanglement

Elizabeth Behrman·James Steck
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Abstract

In previous work, we have developed a dynamic learning paradigm for "programming" a general quantum computer. A learning algorithm is used to find a set of parameters for a coupled qubit system such that the system at an initial time evolves to a state in which a given measurement results in the desired calculation value. This can be thought of as a quantum neural network (QNN). Here, we apply our method to a system of three qubits, and demonstrate training the quantum computer to estimate both pairwise and three-way entanglement.

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Elizabeth Behrman, James Steck. 2011-06-21. Dynamic learning of pairwise and three-way entanglement. https://arxiv.org/abs/1106.4254

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