Quantum pattern recognition with liquid-state nuclear magnetic resonance

Rodion Neigovzen; Jorge L. Neves; Rudolf Sollacher; Steffen J. Glaser

doi:10.1103/PhysRevA.79.042321

Quantum pattern recognition with liquid-state nuclear magnetic resonance

Rodion Neigovzen, Jorge L. Neves, Rudolf Sollacher, Steffen J. Glaser

Associate Professorship of Organic Chemistry

Research output: Contribution to journal › Article › peer-review

33 Scopus citations

Abstract

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.

Original language	English
Article number	042321
Journal	Physical Review A
Volume	79
Issue number	4
DOIs	https://doi.org/10.1103/PhysRevA.79.042321
State	Published - 1 Apr 2009

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10.1103/PhysRevA.79.042321

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Quantum pattern recognition with liquid-state nuclear magnetic resonance

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