Optimized Entanglement-Assisted Quantum Error Correction
Soraya Taghavi, Todd A. Brun, Daniel A. Lidar

TL;DR
This paper introduces a convex optimization-based method for designing entanglement-assisted quantum error correction codes tailored to specific noise channels, resulting in higher fidelities and broader error correction capabilities.
Contribution
It presents a novel optimization framework for quantum error correction that outperforms existing methods and extends the class of correctable error channels.
Findings
Achieves higher channel fidelities than existing methods
Enables perfect error correction for a larger class of channels
Interpretation linked to quantum teleportation in some cases
Abstract
Using convex optimization, we propose entanglement-assisted quantum error correction procedures that are optimized for given noise channels. We demonstrate through numerical examples that such an optimized error correction method achieves higher channel fidelities than existing methods. This improved performance, which leads to perfect error correction for a larger class of error channels, is interpreted in at least some cases by quantum teleportation, but for general channels this interpretation does not hold.
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.
