Demonstration of a micro-fabricated Penning trap for quantum computing
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Author / Producer
Date
2023
Publication Type
Conference Paper
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yes
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Abstract
Trapped-ion quantum information processors are among the leading candidates to realise large-scale quantum computing. In trying to scale the number of confined ions in radio-frequency (rf) traps, several challenges arise due to the use of the rf fields. Ion placement is restricted to the vicinity of the rf null in order to minimise excess micromotion. Miniaturisation of trap geometries is desirable for increased ion density, but is at odds with the need to deliver high-voltage rf and tolerate the resulting power dissipation. We demonstrate a platform based on Penning traps, where ions are radially confined using a strong magnetic field. Static electric fields are then sufficient to provide confinement along the axis. We confine a single ⁹Be + ion in a 3 T magnetic field using a micro-fabricated trap and realise transport to arbitrary positions above the trap chip. Furthermore, we show full quantum control of the spin and motion of the trapped ion. Ground state cooling of all motional modes is achieved and we measure the rate of motional heating due to electric field noise in the absence of an rf drive, obtaining noise levels below those observed in similar rf traps. Since only static fields are required for ion confinement, we can temporarily electrically isolate the trap electrodes from technical noise using switches, further reducing the observed electric field noise.
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Publication status
published
External links
Book title
2023 IEEE International Conference on Quantum Computing and Engineering (QCE)
Journal / series
Volume
2
Pages / Article No.
363 - 364
Publisher
IEEE
Event
IEEE International Conference on Quantum Computing and Engineering (QCE)
Edition / version
Methods
Software
Geographic location
Date collected
Date created
Subject
Radio frequency; Trapped ions; Semiconductor device measurement; Quantum computing; Program processors; Stationary states; Ions; Computation; Simulation; Sensing; Penning; Lattice; Array; 2D; Surface trap; Scalable
Organisational unit
03892 - Home, Jonathan / Home, Jonathan
Notes
Funding
818195 - Trapped-ion quantum information in 2-dimensional Penning trap arrays (EC)