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Scaling up reservoir engineering for error-correcting codes

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Alain Sarlette
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Abstract

Error-correcting codes are usually envisioned to counter errors by operating unitary corrections depending on the projective measurement results of some syndrome observables. We here propose a way to use them in a more integrated way, where the error correction is applied continuously and autonomously by an engineered environment. We focus on a proposal for the repetition code that counters bit-flip errors, and how to scale up the network encoding a logical quantum bit, towards stronger information protection. The challenge has been to devise a network architecture which allows to autonomously correct higher-order errors, while remaining realistic towards experimental realization by avoiding all-to-all or all-to-one coupling.

Dates and versions

hal-03084824 , version 1 (21-12-2020)

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Vincent Martin, Alain Sarlette. Scaling up reservoir engineering for error-correcting codes. 2020 Symposium on Mathematical Theory of Networks and Systems (MTNS), Aug 2020, Cambridge, United Kingdom. ⟨hal-03084824⟩
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