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This study demonstrates numerically that reconfigurable qubit architectures can achieve fast magic state distillation in constant code cycles using iterative decoding methods. The research confirms effective suppression of logical error rates for both 7-to-1 and 15-to-1 circuits, providing critical evidence for fault-tolerant quantum computing scalability. By leveraging near-Clifford simulation tools and ZX-calculus benchmarks, the work offers a practical pathway to distilling essential non-Clifford states like $|T\rangle$ under realistic noise conditions.
Sources coveringarXiv, LessWrong
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Iteratively decoded magic state distillation

arXiv2 min read

arXiv:2410.17992v3 Announce Type: replace Abstract: We present numerical simulation results for the 7-to-1 and 15-to-1 state distillation circuits, constructed using transversal CNOTs acting on multiple surface code patches. The distillation circuits are decoded iteratively using the method outlined in [arXiv:2407.20976]. We show that, with a re-configurable qubit architecture, we can perform fast magic state distillation in $\sim\mathcal{O}(1)$ code cycles. We confirm that both circuits suppress an injected input logical error rate $p$ to $\mathcal{O}(p^3)$ in the presence of additional circuit-level noise. This is done with two types of stabiliser proxies, distilling logical $|-\rangle$ and $|Y\rangle$ states, the latter is the intended state of the 7-to-1 circuit while a stabiliser-proxy for the 15-to-1 circuit. We then also provide numerical evidences for actual $|T\rangle$ state distillation using the 15-to-1 circuit with a faulty-$T$ measurement, leveraging recent near-Clifford simulation tools. Finally, we outline how ZX-calculus and Pauli webs can be used to benchmark stabiliser proxies for these distillation circuits.

Abstract:We present numerical simulation results for the 7-to-1 and 15-to-1 state distillation circuits, constructed using transversal CNOTs acting on multiple surface code patches. The distillation circuits are decoded iteratively using the method outlined in [arXiv:2407.20976]. We show that, with a re-configurable qubit architecture, we can perform fast magic state distillation in $\sim\mathcal{O}(1)$ code cycles. We confirm that both circuits suppress an injected input logical error rate $p$ to $\mathcal{O}(p^3)$ in the presence of additional circuit-level noise. This is done with two types of stabiliser proxies, distilling logical $|-\rangle$ and $|Y\rangle$ states, the latter is the intended state of the 7-to-1 circuit while a stabiliser-proxy for the 15-to-1 circuit. We then also provide numerical evidences for actual $|T\rangle$ state distillation using the 15-to-1 circuit with a faulty-$T$ measurement, leveraging recent near-Clifford simulation tools. Finally, we outline how ZX-calculus and Pauli webs can be used to benchmark stabiliser proxies for these distillation circuits.

arXiv:2410.17992 [quant-ph]

(or arXiv:2410.17992v3 [quant-ph] for this version)

https://doi.org/10.48550/arXiv.2410.17992 Focus to learn more arXiv-issued DOI via DataCite

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Full text under the publisher's open licence · 240 words

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