Quantum pattern recognition with liquid-state nuclear magnetic resonance

Rodion Neigovzen, Jorge Luiz Neves, Rudolf Sollacher, Steffen J. Glaser · Physical Review A · 2009

A quantum pattern recognition scheme is presented, which combines the idea of a classic Hopfield neural network with adiabatic quantum computation. Both the input and the memorized patterns are represented by means of the problem Hamiltonian. In contrast to classic neural networks, the algorithm can return a quantum superposition of multiple recognized patterns. A proof of principle for the algorithm for two qubits is provided using a liquid-state NMR quantum computer.

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