Scalable topological quantum computing based on Sine-Cosine chain models
Quantum Physics
2026-03-30 v1 Mesoscale and Nanoscale Physics
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.
Cite
@article{arxiv.2603.25952,
title = {Scalable topological quantum computing based on Sine-Cosine chain models},
author = {A. Lykholat and G. F. Moreira and I. R. Martins and D. Sousa and A. M. Marques and R. G. Dias},
journal= {arXiv preprint arXiv:2603.25952},
year = {2026}
}
Comments
20 pages, 20 figures