Title
Toward a scalable quantum computing architecture with mixed species ion chains
Abstract
We report on progress toward implementing mixed ion species quantum information processing for a scalable ion-trap architecture. Mixed species chains may help solve several problems with scaling ion-trap quantum computation to large numbers of qubits. Initial temperature measurements of linear Coulomb crystals containing barium and ytterbium ions indicate that the mass difference does not significantly impede cooling at low ion numbers. Average motional occupation numbers are estimated to be $$\\bar{n} \\approx 130$$n¯ź130 quanta per mode for chains with small numbers of ions, which is within a factor of three of the Doppler limit for barium ions in our trap. We also discuss generation of ion---photon entanglement with barium ions with a fidelity of $$F \\ge 0.84$$Fź0.84, which is an initial step towards remote ion---ion coupling in a more scalable quantum information architecture. Further, we are working to implement these techniques in surface traps in order to exercise greater control over ion chain ordering and positioning.
Year
DOI
Venue
2016
10.1007/s11128-015-1220-9
Quantum Information Processing
Keywords
Field
DocType
Ion trapping, Sympathetic cooling, Mixed species Ion chains, Scalable quantum computing architecture
Coupling,Quantum entanglement,Atomic physics,Quantum mechanics,Sympathetic cooling,Quantum computer,Quantum information,Qubit,Scaling,Ion,Physics
Journal
Volume
Issue
ISSN
15
12
1573-1332
Citations 
PageRank 
References 
1
0.38
0
Authors
8
Name
Order
Citations
PageRank
john wright131.79
carolyn auchter210.38
chenkuan chou310.38
richard d graham410.38
thomas w noel510.38
tomasz sakrejda610.38
zichao zhou710.38
Boris B. Blinov8102.46