Continuous quantum correction on Markovian and Non-Markovian models
Juan Garcia Nila, Todd A. Brun

TL;DR
This paper compares the effectiveness of continuous quantum error correction under Markovian and non-Markovian noise models, finding improved performance against non-Markovian noise due to the quantum Zeno effect.
Contribution
It introduces and systematically compares two distinct non-Markovian error models with the Markovian case in the context of quantum error correction, highlighting the role of the quantum Zeno effect.
Findings
Fidelity decays slower in non-Markovian models than in Markovian.
Non-Markovian noise models show enhanced quantum error correction performance.
Presence of quantum Zeno regime explains improved fidelity in non-Markovian cases.
Abstract
We investigate continuous quantum error correction, comparing performance under a Markovian error model to two distinct non-Markovian models. The first non-Markovian model involves an interaction Hamiltonian between the system and an environmental qubit via an X-X coupling, with a "cooling" bath acting on the environment qubit. This model is known to exhibit abrupt transitions between Markovian and non-Markovian behavior. The second non-Markovian model uses the post-Markovian master equation (PMME), which represents the bath correlation through a memory kernel; we consider an exponentially decaying kernel and both underdamped and overdamped dynamics. We systematically compare these non-Markovian error models against the Markovian case and against each other, for a variety of different codes. We start with a single qubit, which can be solved analytically. We then consider the three-qubit…
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.
