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

34 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

Access to Document

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

Fingerprint Dive into the research topics of 'Trapped ion chain as a neural network: Error resistant quantum computation'. Together they form a unique fingerprint.

Cite this

@article{7d36ddb9a6d440eba768851a38fe24e8,

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.",

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

year = "2007",

month = jan,

day = "1",

doi = "https://doi.org/10.1103/PhysRevLett.98.023003",

language = "English",

volume = "98",

}

TY - JOUR

T1 - Trapped ion chain as a neural network: Error resistant quantum computation

AU - Pons, Marisa

AU - Ahufinger, Veronica

AU - Wunderlich, Christof

AU - Sanpera, Anna

AU - Braungardt, Sibylle

AU - Sen, Aditi

AU - Sen, Ujjwal

AU - Lewenstein, Maciej

PY - 2007/1/1

Y1 - 2007/1/1

N2 - 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.

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.

U2 - https://doi.org/10.1103/PhysRevLett.98.023003

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

M3 - Article

VL - 98

M1 - 023003

ER -