Microfabricated Penning trap for quantum computation and simulation
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Date
2022
Publication Type
Conference Paper
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yes
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Abstract
Trapped ion quantum information processors as well as all competing platforms are facing a challenging task to scale up their qubit registers. Trapped ion systems typically use strong radio-frequency (r.f.) fields for confinement, which present a technological challenge in delivering the required power to miniaturized surface traps with a two-dimensional geometry. Such a geometry is desired for scaling in a large information process but is fundamentally at odds with the fact that any ions straying away from one-dimensional r.f. nulls suffer excess micromotion. We instead envision a two-dimensional array of Penning traps that will operate free from the detrimental strong r.f. fields: a repeating pattern of dc electrodes on a microfabricated trap chip with static quadrupole potentials will create an axial confinement at each trap site and in combination with a strong and homogenous magnetic field generate radial confinement. Each individual trap site would then host a single ion and would be easily reconfigurable to adjust the distance to a neighboring site to allow for tunable coupling strengths. To demonstrate the feasibility of this approach, we built an experimental apparatus that houses a micro-fabricated trap capable of creating two radially separated trapping wells inside a cryogenic vacuum chamber inserted into the bore of a 3 T superconducting magnet. We report on the first successful loading of 9 Be + ions into the trap. The results highlight our ability to successfully cool the radial motion using the radial motional mode coupling technique known as axialization.
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Publication status
published
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Book title
2022 IEEE International Conference on Quantum Computing and Engineering (QCE)
Journal / series
Volume
Pages / Article No.
807 - 808
Publisher
IEEE
Event
3rd IEEE International Conference on Quantum Computing and Engineering (QCE 2022)
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Methods
Software
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Date collected
Date created
Subject
ion; trap; computation; simulation; Penning; lattice; array; 2D; surface trap
Organisational unit
03892 - Home, Jonathan / Home, Jonathan
Notes
Funding
818195 - Trapped-ion quantum information in 2-dimensional Penning trap arrays (EC)