Quantum learning by measurement and feedback

被引：24

作者：

Gammelmark, S. ^{[1
]}

Molmer, K. ^{[1
]}

机构：

[1] Univ Aarhus, Lundbeck Fdn, Theoret Ctr Quantum Syst Res, Dept Phys & Astron, DK-8000 Aarhus C, Denmark

来源：

NEW JOURNAL OF PHYSICS | 2009年 / 11卷

关键词：

ALGORITHMS;

D O I：

10.1088/1367-2630/11/3/033017

中图分类号：

O4 [物理学];

学科分类号：

0702 ;

摘要：

We investigate an approach to quantum computing in which quantum gate strengths are parametrized by quantum degrees of freedom. The capability of the quantum computer to perform desired tasks is monitored by measurements of the output and gradually improved by successive feedback modifications of the coupling strength parameters. Our proposal uses only information available in an experimental implementation and is demonstrated with simulations on search and factoring algorithms.

引用

页数：11

共 21 条

[1]

[Anonymous], 2008, ARXIV08032976

[2]

[Anonymous], 2000, QUANTUM COMPUTATION

[3]

Asmussen Soren, 2007, Stochastic simulation: algorithms and analysis, V57

[4] Improved bounds on quantum learning algorithms [J].