Finite-rate sparse quantum codes aplenty

We introduce a methodology for generating random multi-qubit stabilizer codes based on solving a constraint satisfaction problem (CSP) on random bipartite graphs. This framework allows us to enforce stabilizer commutation, $X/Z$ balancing, finite rate, sparsity, and maximum-degree constraints simult...

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Main Authors: Maxime Tremblay, Guillaume Duclos-Cianci, Stefanos Kourtis
Format: Article
Language:English
Published: Verein zur Förderung des Open Access Publizierens in den Quantenwissenschaften 2023-04-01
Series:Quantum
Online Access:https://quantum-journal.org/papers/q-2023-04-20-985/pdf/
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author Maxime Tremblay
Guillaume Duclos-Cianci
Stefanos Kourtis
author_facet Maxime Tremblay
Guillaume Duclos-Cianci
Stefanos Kourtis
author_sort Maxime Tremblay
collection DOAJ
description We introduce a methodology for generating random multi-qubit stabilizer codes based on solving a constraint satisfaction problem (CSP) on random bipartite graphs. This framework allows us to enforce stabilizer commutation, $X/Z$ balancing, finite rate, sparsity, and maximum-degree constraints simultaneously in a CSP that we can then solve numerically. Using a state-of-the-art CSP solver, we obtain convincing evidence for the existence of a satisfiability threshold. Furthermore, the extent of the satisfiable phase increases with the number of qubits. In that phase, finding sparse codes becomes an easy problem. Moreover, we observe that the sparse codes found in the satisfiable phase practically achieve the channel capacity for erasure noise. Our results show that intermediate-size finite-rate sparse quantum codes are easy to find, while also demonstrating a flexible methodology for generating good codes with custom properties. We therefore establish a complete and customizable pipeline for random quantum code discovery.
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spelling doaj.art-1aeaf2997139485784c6027c9d7d6af02023-04-20T12:33:31ZengVerein zur Förderung des Open Access Publizierens in den QuantenwissenschaftenQuantum2521-327X2023-04-01798510.22331/q-2023-04-20-98510.22331/q-2023-04-20-985Finite-rate sparse quantum codes aplentyMaxime TremblayGuillaume Duclos-CianciStefanos KourtisWe introduce a methodology for generating random multi-qubit stabilizer codes based on solving a constraint satisfaction problem (CSP) on random bipartite graphs. This framework allows us to enforce stabilizer commutation, $X/Z$ balancing, finite rate, sparsity, and maximum-degree constraints simultaneously in a CSP that we can then solve numerically. Using a state-of-the-art CSP solver, we obtain convincing evidence for the existence of a satisfiability threshold. Furthermore, the extent of the satisfiable phase increases with the number of qubits. In that phase, finding sparse codes becomes an easy problem. Moreover, we observe that the sparse codes found in the satisfiable phase practically achieve the channel capacity for erasure noise. Our results show that intermediate-size finite-rate sparse quantum codes are easy to find, while also demonstrating a flexible methodology for generating good codes with custom properties. We therefore establish a complete and customizable pipeline for random quantum code discovery.https://quantum-journal.org/papers/q-2023-04-20-985/pdf/
spellingShingle Maxime Tremblay
Guillaume Duclos-Cianci
Stefanos Kourtis
Finite-rate sparse quantum codes aplenty
Quantum
title Finite-rate sparse quantum codes aplenty
title_full Finite-rate sparse quantum codes aplenty
title_fullStr Finite-rate sparse quantum codes aplenty
title_full_unstemmed Finite-rate sparse quantum codes aplenty
title_short Finite-rate sparse quantum codes aplenty
title_sort finite rate sparse quantum codes aplenty
url https://quantum-journal.org/papers/q-2023-04-20-985/pdf/
work_keys_str_mv AT maximetremblay finiteratesparsequantumcodesaplenty
AT guillaumeducloscianci finiteratesparsequantumcodesaplenty
AT stefanoskourtis finiteratesparsequantumcodesaplenty