Distributed Hyperbolic Floquet Codes under Depolarizing and Erasure Noise
Aygul Azatovna Galimova

TL;DR
This paper constructs and simulates distributed hyperbolic Floquet codes based on tessellations, demonstrating their robustness under various noise models and introducing new code families with promising error thresholds.
Contribution
It introduces new hyperbolic Floquet codes from $ ext{(10,3)}$ and $ ext{(12,3)}$ tessellations, and evaluates their performance under multiple realistic noise models.
Findings
Achieve pseudo-thresholds up to 3.0% under depolarizing noise.
Demonstrate thresholds of 25-40% under erasure noise.
Introduce new code families with competitive error correction performance.
Abstract
Distributing qubits across quantum processing units (QPUs) connected by shared entanglement enables scaling beyond monolithic architectures. Hyperbolic Floquet codes use only weight-2 measurements and are good candidates for distributed quantum error correcting codes. We construct hyperbolic and semi-hyperbolic Floquet codes from , , and tessellations via the Wythoff kaleidoscopic construction with the Low-Index Normal Subgroups (LINS) algorithm and distribute them across QPUs via spectral bisection. The and families are new to hyperbolic Floquet codes. We simulate these distributed codes under four noise models: depolarizing, SDEM3, correlated EM3, and erasure. With depolarizing noise (), fine-grained codes achieve non-local pseudo-thresholds up to 3.0\% for , 3.0\% for , and 1.75\% for…
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Taxonomy
TopicsQuantum Computing Algorithms and Architecture · Quantum Information and Cryptography · Quantum-Dot Cellular Automata
