Entanglement recovery by reversing the effect of noise in quantum repeater

• URL: http://arxiv.org/abs/2602.21563v1
• Date: Wed, 25 Feb 2026 04:37:06 GMT
• Title: Entanglement recovery by reversing the effect of noise in quantum repeater
• Authors: Sewon Jeong, Shrobona Bagchi, Jaehak Lee, Hyang-Tag Lim, Yong-Su Kim, Taeyoung Choi, Seung-Woo Lee,
• Abstract summary: We propose a method to recover the degree of entanglement distributed by entanglement swapping in the presence of noise.<n>Our approach introduces a reversing operation that undoes the effect of amplitude damping or photon loss on a single entangled pair.<n>Our work provides a practical and experimentally feasible way toward robust entanglement distribution in current and near-term quantum repeater architectures.
• Score: 1.3599738678775857
• License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
• Abstract: We propose a method to directly recover the degree of entanglement distributed by entanglement swapping in the presence of noise. Our approach introduces a reversing operation that probabilistically undoes the effect of amplitude damping or photon loss on a single entangled pair, enabling heralded recovery of entanglement. We demonstrate that entanglement can be substantially recovered even under strong noise, including parameter regimes where the distributed entanglement would otherwise vanish due to entanglement sudden death. We analyze the effectiveness of the protocol in two representative repeater models, i.e.,~two-way and one-way architectures and identify the optimal reversing strategy. Due to its heralded and single-copy nature, our protocol is readily compatible with other entanglement recovery techniques such as entanglement purification and distillation. Our work provides a practical and experimentally feasible way toward robust entanglement distribution in current and near-term quantum repeater architectures.

Related papers

• Quantum error correction via purification using a single auxiliary [0.0]
  We propose a single auxiliary-assisted purification-based framework for quantum error correction.<n>We show that the resulting purified state always achieves unit fidelity.<n>We demonstrate the power of this proposed method for several low-distance quantum codes.
  arXiv  Detail & Related papers  (2025-12-10T15:23:03Z)
• Divide and Conquer: Heterogeneous Noise Integration for Diffusion-based Adversarial Purification [75.09791002021947]
  Existing purification methods aim to disrupt adversarial perturbations by introducing a certain amount of noise through a forward diffusion process, followed by a reverse process to recover clean examples.<n>This approach is fundamentally flawed as the uniform operation of the forward process compromises normal pixels while attempting to combat adversarial perturbations.<n>We propose a heterogeneous purification strategy grounded in the interpretability of neural networks.<n>Our method decisively applies higher-intensity noise to specific pixels that the target model focuses on while the remaining pixels are subjected to only low-intensity noise.
  arXiv  Detail & Related papers  (2025-03-03T11:00:25Z)
• Noise Suppression via Coherent Quantum Feedback: a Schr{ö}dinger Picture Approach [19.496355280111004]
  We explore the possibility of achieving noise suppression for finite-dimensional quantum systems through coherent feedback. For a quantum plant which is expected to evolve according to a target trajectory, noise effect potentially deforms the plant state trajectory from the desired one. We present several conditions on coherent feedback protocols under which noise-affected trajectories can be driven back towards desired ones.
  arXiv  Detail & Related papers  (2024-09-09T08:31:22Z)
• Amortized Posterior Sampling with Diffusion Prior Distillation [55.03585818289934]
  Amortized Posterior Sampling is a novel variational inference approach for efficient posterior sampling in inverse problems.<n>Our method trains a conditional flow model to minimize the divergence between the variational distribution and the posterior distribution implicitly defined by the diffusion model.<n>Unlike existing methods, our approach is unsupervised, requires no paired training data, and is applicable to both Euclidean and non-Euclidean domains.
  arXiv  Detail & Related papers  (2024-07-25T09:53:12Z)
• Suppression of noise in separation estimation of optical sources with spatial-mode demultiplexing [0.0]
  Superresolution brought by spatial mode demultiplexing deteriorates rapidly. We propose a formal procedure to suppress the destructive effect of the noise. This allows for a recovery of superresolution for a special class of noise generated by displacement operators.
  arXiv  Detail & Related papers  (2024-07-02T07:08:26Z)
• DiffusionAD: Norm-guided One-step Denoising Diffusion for Anomaly Detection [80.20339155618612]
  DiffusionAD is a novel anomaly detection pipeline comprising a reconstruction sub-network and a segmentation sub-network.<n>A rapid one-step denoising paradigm achieves hundreds of times acceleration while preserving comparable reconstruction quality.<n>Considering the diversity in the manifestation of anomalies, we propose a norm-guided paradigm to integrate the benefits of multiple noise scales.
  arXiv  Detail & Related papers  (2023-03-15T16:14:06Z)
• Compressed quantum error mitigation [0.0]
  We introduce a quantum error mitigation technique based on probabilistic error cancellation to eliminate errors which have accumulated during the application of a quantum circuit. For a simple noise model, we show that efficient, local denoisers can be found, and we demonstrate their effectiveness for the digital quantum simulation of the time evolution of simple spin chains.
  arXiv  Detail & Related papers  (2023-02-10T19:00:02Z)
• Autonomous coherence protection of a two-level system in a fluctuating environment [68.8204255655161]
  We re-examine a scheme originally intended to remove the effects of static Doppler broadening from an ensemble of non-interacting two-level systems (qubits) We demonstrate that this scheme is far more powerful and can also protect a single (or even an ensemble) qubit's energy levels from noise which depends on both time and space.
  arXiv  Detail & Related papers  (2023-02-08T01:44:30Z)
• Suppressing Amplitude Damping in Trapped Ions: Discrete Weak Measurements for a Non-unitary Probabilistic Noise Filter [62.997667081978825]
  We introduce a low-overhead protocol to reverse this degradation. We present two trapped-ion schemes for the implementation of a non-unitary probabilistic filter against amplitude damping noise. This filter can be understood as a protocol for single-copy quasi-distillation.
  arXiv  Detail & Related papers  (2022-09-06T18:18:41Z)
• Towards performant and reliable undersampled MR reconstruction via diffusion model sampling [67.73698021297022]
  DiffuseRecon is a novel diffusion model-based MR reconstruction method. It guides the generation process based on the observed signals. It does not require additional training on specific acceleration factors.
  arXiv  Detail & Related papers  (2022-03-08T02:25:38Z)

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.