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Hyperbolic Cluster States for Fault-Tolerant Measurement-Based Quantum Computing

Quantum Physics 2026-03-31 v1 Mathematical Physics Algebraic Geometry Algebraic Topology math.MP

Abstract

Fault-tolerant measurement-based quantum computing (MBQC) provides a compelling framework for fault-tolerant quantum computation, in which quantum information is processed through single-qubit measurements on a three-dimensional entangled resource known as cluster state. To date, this resource has been predominantly studied on Euclidean lattices, most notably in the Raussendorf-Harrington-Goyal (RHG) construction, which underlies topological fault tolerance in MBQC. In this work, we introduce the hyperbolic cluster state, a generalization of the three-dimensional cluster state to negatively curved geometries, obtained via the foliation of periodic hyperbolic lattices. We present an explicit construction of hyperbolic cluster states and investigate their fault-tolerant properties under a realistic circuit-level depolarizing noise model. Using large-scale numerical simulations, we perform memory experiments to characterize their logical error rates and decoding performance. Our results demonstrate that hyperbolic cluster states exhibit a fault-tolerance threshold comparable to that of the Euclidean RHG cluster state, while simultaneously supporting a constant encoding rate in the thermodynamic limit. This represents a substantial improvement in qubit overhead relative to conventional cluster-state constructions. These findings establish hyperbolic geometry as a powerful and experimentally relevant resource for scalable, fault-tolerant MBQC and open new avenues for leveraging negative curvature in quantum information processing.

Keywords

Cite

@article{arxiv.2603.27004,
  title  = {Hyperbolic Cluster States for Fault-Tolerant Measurement-Based Quantum Computing},
  author = {Ahmed Adel Mahmoud and Gabrielle Tournaire and Sven Bachmann and Steven Rayan},
  journal= {arXiv preprint arXiv:2603.27004},
  year   = {2026}
}

Comments

19 pages, 6 figures, 1 table

R2 v1 2026-07-01T11:41:52.686Z