Scalable topological quantum computing based on Sine-Cosine chain models
arXiv QuantumArchived Mar 30, 2026✓ Full text saved
arXiv:2603.25952v1 Announce Type: new 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.
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✦ AI Summary· Claude Sonnet
Quantum Physics
[Submitted on 26 Mar 2026]
Scalable topological quantum computing based on Sine-Cosine chain models
A. Lykholat, G. F. Moreira, I. R. Martins, D. Sousa, A. M. Marques, R. G. Dias
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.
Comments: 20 pages, 20 figures
Subjects: Quantum Physics (quant-ph); Mesoscale and Nanoscale Physics (cond-mat.mes-hall)
Cite as: arXiv:2603.25952 [quant-ph]
(or arXiv:2603.25952v1 [quant-ph] for this version)
https://doi.org/10.48550/arXiv.2603.25952
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Submission history
From: Ricardo Guimaraes Dias [view email]
[v1] Thu, 26 Mar 2026 22:46:37 UTC (3,839 KB)
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