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Trapped Ion Quantum Computing
Scalable topological quantum computing based on Sine-Cosine chain models
arXiv
Authors: A. Lykholat, G. F. Moreira, I. R. Martins, D. Sousa, A. M. Marques, R. G. Dias
Year
2026
Paper ID
39111
Status
Preprint
Abstract Read
~2 min
Abstract Words
78
Citations
N/A
Abstract
This work proposes a scalable framework for topological quantum computing using Matryoshka-type Sine-Cosine chains. These chains support high-dimensional qudit encoding within single systems, reducing the physical resource overhead compared to conventional qubit arrays. We describe how these chains can be used in Y-junction braiding protocols for gate operations and in extended memory architectures capable of storing multiple qubits simultaneously. Fidelity analysis shows partial topological protection against disorder, suggesting this approach is a possible pathway toward low-overhead quantum hardware.
Why This Paper Matters
- This paper contributes to the Trapped-Ion Quantum Computing research area in the Quantum Articles archive.
- It adds a 2026 reference point for readers tracking recent quantum research.
- This work proposes a scalable framework for topological quantum computing using Matryoshka-type Sine-Cosine chains.
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