Dynamic learning of pairwise and three-way entanglement

Details Dynamic learning of pairwise and three-way entanglement Dynamic learning of pairwise and three-way entanglement

2011-06-21

arxiv.org/abs/1106.4254v1

Proceedings of the Third World Congress on Nature and Biologically Inspired Computing (NaBIC2011)

Physics

Quantum Physics

6 pages; 2 figures; 5 tables; Submitted to NaBIC 2011

Scientific paper

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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