Scalable quantum computing stabilised by optical tweezers on an ion crystal
Yu-Ching Shen, Guin-Dar Lin

TL;DR
This paper proposes a scalable architecture for trapped ion quantum computers using optical tweezers to stabilize ion crystals, enabling larger systems with linear overhead and improved thermal robustness.
Contribution
It introduces a novel scheme combining tunable trap architecture, optical tweezers stabilization, and sympathetic cooling, allowing arbitrary ion qubit numbers with linear scaling.
Findings
Optical tweezers modify motional spectra and pin ions.
The scheme reduces thermal excitations and stabilizes ion positions.
Local cooling behavior is effectively controlled within sub-arrays.
Abstract
As it has been demonstrated that trapped ion systems have unmatched long-lived quantum-bit (qubit) coherence and can support high-fidelity quantum manipulations, how to scale up the system size becomes an inevitable task for practical purposes. In this work, we theoretically analyse the physical limitation of scalability with a trapped ion array, and propose a feasible scheme of architecture that in principle allows an arbitrary number of ion qubits, for which the overhead only scales linearly with the system size. This scheme relies on the combined ideas of a trap architecture of tunable size, stabilisation of an ion crystal by optical tweezers, and continuous sympathetic cooling without touching the stored information. We demonstrate that illumination of optical tweezers modifies the motional spectrum by effectively pinning the ions, lifting the frequencies of the motional ground…
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