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 - 10.1103/PhysRevLett.98.023003
DO - 10.1103/PhysRevLett.98.023003
M3 - Article
SN - 0031-9007
VL - 98
JO - Physical Review Letters
JF - Physical Review Letters
M1 - 023003
ER -