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arXiv 0803.2976quant-ph
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量子学习机

Quantum Learning Machine

Jeongho Bang, James Lim, M. S. Kim, Jinhyoung Lee

摘要:

我们提出了一个新的概念,量子学习机自动控制量子相干性和开发量子算法。量子学习机可以被训练成在没有关于其算法的先验知识的情况下学习某个任务。作为一个例子,它表明,量子学习机学习Deutsch的任务,并发现自己的量子算法,这是不同于但相当于原来的一个。

英文摘要:

We propose a novel notion of a quantum learning machine for automatically controlling quantum coherence and for developing quantum algorithms. A quantum learning machine can be trained to learn a certain task with no a priori knowledge on its algorithm. As an example, it is demonstrated that the quantum learning machine learns Deutsch's task and finds itself a quantum algorithm, that is different from but equivalent to the original one.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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