Scaling up reservoir engineering for error-correcting codes
Vincent Martin, Alain Sarlette

TL;DR
This paper proposes a scalable, autonomous error correction method for quantum repetition codes using engineered environments, aiming to improve quantum information protection without complex coupling architectures.
Contribution
It introduces a network architecture for autonomous, scalable quantum error correction that avoids all-to-all coupling, enhancing practical implementation.
Findings
Demonstrates a scalable network design for autonomous error correction.
Shows potential for improved quantum information protection.
Addresses experimental feasibility in quantum error correction networks.
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.
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsQuantum Computing Algorithms and Architecture · Neural Networks and Reservoir Computing · Quantum Information and Cryptography
