Quantum pattern recognition with liquid-state nuclear magnetic resonance

被引：30

作者：

Neigovzen, Rodion ^{[1
,2
]}

Neves, Jorge L. ^{[3
]}

Sollacher, Rudolf ^{[1
]}

Glaser, Steffen J. ^{[3
]}

机构：

[1] Siemens AG, Corp Technol, D-80200 Munich, Germany

[2] Tech Univ Munich, Dept Phys, D-85748 Garching, Germany

[3] Tech Univ Munich, Dept Chem, D-85747 Garching, Germany

来源：

PHYSICAL REVIEW A | 2009年 / 79卷 / 04期

关键词：

Hopfield neural nets; nuclear magnetic resonance; quantum computing; ALGORITHMS; MECHANICS; SPIN;

D O I：

10.1103/PhysRevA.79.042321

中图分类号：

O43 [光学];

学科分类号：

070207 ; 0803 ;

摘要：

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.

引用

页数：7

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