Learning Encodings by Maximizing State Distinguishability: Variational Quantum Error Correction

ArXi:2506.11552v2 Announce Type: replace-cross Quantum error correction is crucial for protecting quantum information against decoherence. Traditional codes like the surface code require substantial overhead, making them impractical for near-term, early fault-tolerant devices. We propose a novel objective function for tailoring error correction codes to specific noise structures by maximizing the distinguishability between quantum states after a noise channel, ensuring efficient recovery operations.