Continuous quantum correction on Markovian and Non-Markovian models
- URL: http://arxiv.org/abs/2505.18400v3
- Date: Tue, 24 Jun 2025 23:54:38 GMT
- Title: Continuous quantum correction on Markovian and Non-Markovian models
- Authors: Juan Garcia Nila, Todd A. Brun,
- Abstract summary: We compare performance under a Markovian error model to two distinct non-Markovian models.<n>We find that continuous quantum error correction has enhanced performance against non-Markovian noise.
- Score: 0.0
- License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
- 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 repetition code and the five-qubit "perfect" code. In all cases, we find that the fidelity decays more rapidly in the Markovian case than in either non-Markovian model, suggesting that continuous quantum error correction has enhanced performance against non-Markovian noise. We attribute this difference to the presence of a quantum Zeno regime in both non-Markovian models.
Related papers
- Temperature and non-Markovian parameter estimation in quantum Brownian motion [0.0]
We investigate a quantum metrological protocol operating in a non-Markovian environment by employing the quantum Brownian motion (QBM) model.<n>To confirm the presence of non-Markovian behavior, we apply two well-established non-Markovianity quantifiers.<n>Our results demonstrate that non-Markovianity and PM correlations can jointly be valuable resources to enhance metrological performance.
arXiv Detail & Related papers (2025-04-11T13:41:00Z) - Quantum non-Markovian noise in randomized benchmarking of spin-boson models [0.0]
We study the effects of a quantum non-Markovian bath on qubit randomized benchmarking experiments.<n>Allowing for non-Markovianity in the interactions leads to clear differences in the randomized benchmarking decay curves.<n>These results inform efforts on incorporating quantum non-Markovian noise in the characterization and benchmarking of quantum devices.
arXiv Detail & Related papers (2025-02-20T16:25:59Z) - Effect of Correlated Errors on Quantum Memory [1.3198143828338362]
We introduce a correlation model which is a generalization of the well-known hidden random fields.<n>We show that for a broad class of non-Markov and (possibly) non-stationary error distributions, quantum Tanner codes ensure an exponential retention time.
arXiv Detail & Related papers (2024-08-16T14:59:10Z) - Generative Fractional Diffusion Models [53.36835573822926]
We introduce the first continuous-time score-based generative model that leverages fractional diffusion processes for its underlying dynamics.
Our evaluations on real image datasets demonstrate that GFDM achieves greater pixel-wise diversity and enhanced image quality, as indicated by a lower FID.
arXiv Detail & Related papers (2023-10-26T17:53:24Z) - Systematic compactification of the two-channel Kondo model. I. Consistent bosonization-debosonization approach and exact comparisons [44.99833362998488]
We revisit the compactification procedure of the two-channel Kondo model.
We uncover some hidden approximations that could limit its range of validity.
arXiv Detail & Related papers (2023-08-07T13:19:37Z) - Normal quantum channels and Markovian correlated two-qubit quantum
errors [77.34726150561087]
We study general normally'' distributed random unitary transformations.
On the one hand, a normal distribution induces a unital quantum channel.
On the other hand, the diffusive random walk defines a unital quantum process.
arXiv Detail & Related papers (2023-07-25T15:33:28Z) - Doubly Stochastic Models: Learning with Unbiased Label Noises and
Inference Stability [85.1044381834036]
We investigate the implicit regularization effects of label noises under mini-batch sampling settings of gradient descent.
We find such implicit regularizer would favor some convergence points that could stabilize model outputs against perturbation of parameters.
Our work doesn't assume SGD as an Ornstein-Uhlenbeck like process and achieve a more general result with convergence of approximation proved.
arXiv Detail & Related papers (2023-04-01T14:09:07Z) - Quantum chaos and thermalization in the two-mode Dicke model [77.34726150561087]
We discuss the onset of quantum chaos and thermalization in the two-mode Dicke model.
The two-mode Dicke model exhibits normal to superradiant quantum phase transition.
We show that the temporal fluctuations of the expectation value of the collective spin observable around its average are small and decrease with the effective system size.
arXiv Detail & Related papers (2022-07-08T11:16:29Z) - Preserving quantum correlations and coherence with non-Markovianity [50.591267188664666]
We demonstrate the usefulness of non-Markovianity for preserving correlations and coherence in quantum systems.
For covariant qubit evolutions, we show that non-Markovianity can be used to preserve quantum coherence at all times.
arXiv Detail & Related papers (2021-06-25T11:52:51Z) - Relationship between costs for quantum error mitigation and
non-Markovian measures [0.0]
We show that there is a clear relationship between costs for QEM and non-Markovian measures.
This discovery may help in designing better QEM strategies for realistic quantum devices with non-Markovian environments.
arXiv Detail & Related papers (2020-09-27T06:21:52Z) - Non-Markovianity of Quantum Brownian Motion [0.0]
We study quantum non-Markovian dynamics of the Caldeira-Leggett model, a prototypical model for quantum Brownian motion.
A comparison of our results with the corresponding results for the spin-boson problem show a remarkable similarity in the structure of non-Markovian behavior of the two paradigmatic models.
arXiv Detail & Related papers (2020-07-06T16:35:09Z) - AvgOut: A Simple Output-Probability Measure to Eliminate Dull Responses [97.50616524350123]
We build dialogue models that are dynamically aware of what utterances or tokens are dull without any feature-engineering.
The first model, MinAvgOut, directly maximizes the diversity score through the output distributions of each batch.
The second model, Label Fine-Tuning (LFT), prepends to the source sequence a label continuously scaled by the diversity score to control the diversity level.
The third model, RL, adopts Reinforcement Learning and treats the diversity score as a reward signal.
arXiv Detail & Related papers (2020-01-15T18:32:06Z)
This list is automatically generated from the titles and abstracts of the papers in this site.
This site does not guarantee the quality of this site (including all information) and is not responsible for any consequences.