Noise-adapted Quantum Error Correction for Non-Markovian Noise
Debjyoti Biswas, Shrikant Utagi, Prabha Mandayam

TL;DR
This paper extends quantum error correction techniques to non-Markovian noise, demonstrating that adapted Petz maps can effectively protect quantum information even under complex noise conditions.
Contribution
It generalizes approximate quantum error correction conditions for non-Markovian noise and introduces practical Petz maps that outperform standard codes.
Findings
Petz map can safeguard code space in non-Markovian regimes
Non-Markovian Petz map outperforms stabilizer codes
Markovian approximation retains high fidelity
Abstract
We consider the problem of quantum error correction (QEC) for non-Markovian noise. Using the well known Petz recovery map, we first show that conditions for approximate QEC can be easily generalized for the case of non-Markovian noise, in the strong coupling regime where the noise map becomes non-completely-positive at intermediate times. While certain approximate QEC schemes are ineffective against quantum non-Markovian noise, in the sense that the fidelity vanishes in finite time, the Petz map adapted to non-Markovian noise uniquely safeguards the code space even at the maximum noise limit. Focusing on the case of non-Markovian amplitude damping noise, we further show that the non-Markovian Petz map also outperforms the standard, stabilizer-based QEC code. Since implementing such a non-Markovian map poses practical challenges, we also construct a Markovian Petz map that achieves…
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Taxonomy
TopicsQuantum Information and Cryptography · Quantum Computing Algorithms and Architecture
