English

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.

Keywords

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

R2 v1 2026-07-01T11:40:00.778Z