Trapped ion chain as a neural network: Error resistant quantum computation

Marisa Pons; Veronica Ahufinger; Christof Wunderlich; Anna Sanpera; Sibylle Braungardt; Aditi Sen; Ujjwal Sen; Maciej Lewenstein

doi:https://doi.org/10.1103/PhysRevLett.98.023003

Trapped ion chain as a neural network: Error resistant quantum computation

Marisa Pons, Veronica Ahufinger, Christof Wunderlich, Anna Sanpera, Sibylle Braungardt, Aditi Sen, Ujjwal Sen, Maciej Lewenstein

Department of Physics

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

38 Citations (Scopus)

Abstract

We demonstrate the possibility of realizing a neural network in a chain of trapped ions with induced long range interactions. Such models permit one to store information distributed over the whole system. The storage capacity of such a network, which depends on the phonon spectrum of the system, can be controlled by changing the external trapping potential. We analyze the implementation of error resistant universal quantum information processing in such systems. © 2007 The American Physical Society.

Original language	English
Article number	023003
Journal	Physical Review Letters
Volume	98
DOIs	https://doi.org/10.1103/PhysRevLett.98.023003
Publication status	Published - 1 Jan 2007

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title = "Trapped ion chain as a neural network: Error resistant quantum computation",

abstract = "We demonstrate the possibility of realizing a neural network in a chain of trapped ions with induced long range interactions. Such models permit one to store information distributed over the whole system. The storage capacity of such a network, which depends on the phonon spectrum of the system, can be controlled by changing the external trapping potential. We analyze the implementation of error resistant universal quantum information processing in such systems. {\textcopyright} 2007 The American Physical Society.",

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AU - Sen, Aditi

AU - Sen, Ujjwal

AU - Lewenstein, Maciej

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AB - We demonstrate the possibility of realizing a neural network in a chain of trapped ions with induced long range interactions. Such models permit one to store information distributed over the whole system. The storage capacity of such a network, which depends on the phonon spectrum of the system, can be controlled by changing the external trapping potential. We analyze the implementation of error resistant universal quantum information processing in such systems. © 2007 The American Physical Society.

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DO - https://doi.org/10.1103/PhysRevLett.98.023003

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Trapped ion chain as a neural network: Error resistant quantum computation

Abstract

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