Versatile surface ion trap for effective cooling and large-scale trapping of ions
Xinfang Zhang, Baoquan Ou, Ting Chen, Yi Xie, Wei Wu, Pingxing Chen

TL;DR
This paper proposes a versatile surface ion trap design with optimized geometries and junctions to enable effective cooling, ion shuttling, and large-scale quantum processing, advancing quantum computing and simulation capabilities.
Contribution
It introduces a novel symmetric seven-wire and five-wire trap geometry with a multi-objective optimization for junctions, enhancing ion cooling, shuttling, and scalability in quantum devices.
Findings
Design enables innate axes rotation for effective cooling.
Optimized junctions facilitate ion shuttling and reordering.
Versatile trap supports large-scale quantum processing and simulation.
Abstract
Scaling up and effective cooling of ions in surface ion trap are central challenges in quantum computing and quantum simulation with trapped ions. In this theoretical study, we propose a versatile surface ion trap. In the manipulation zone of our trap, a symmetric seven-wire geometry enables innate principle-axes rotation of two parallel linear ion chains, which facilitates the cooling of ions along all principle trap axes. To alleviate contaminating the manipulation zone during ion loading, a symmetric five-wire geometry is designed as the loading zone. And a "fork junction" connects the loading and manipulation zones, which also enables the shuttling and reordering of ions. A multi-objective optimization procedure suitable for arbitrary junction designs is described in detail, and we present the corresponding optimal results for the key components of our trap. The proposed versatile…
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Taxonomy
TopicsQuantum Information and Cryptography · Cold Atom Physics and Bose-Einstein Condensates
