Quantum
Robustness of Quantum Correlations and Controlled Teleportation Fidelity under Noisy Channels
Publication: quant-ph updates on arXiv.org
Author: S. Archana, Aditi Das, Venkat Abhignan, R. Muthuganesan
Source published: 26/10/2026, 04:00:00 UTC
Briefing created: 26/10/2026, 06:35:47 UTC
Based on a feed excerpt; full article content has not been acquired. Source evidence retrieved 26/10/2026, 04:13:25 UTC.
Briefings
A new arXiv preprint investigates the robustness of three-qubit GHZ resources under various noise types in distributed quantum computing. The study uses Kraus-operator formalism to characterize noise effects via multipartite quantum discord, genuine multipartite concurrence, localizable entanglement, and controlled teleportation fidelity. Key findings indicate that bit-flip and amplitude-damping noise generally preserve useful correlations, while multipartite discord can persist beyond the sudden death of genuine multipartite entanglement. Controlled teleportation fidelity can exceed classical thresholds even when genuine multipartite entanglement vanishes. The research outlines a photonic proof-of-concept implementation for experimental testing.
Key points
- Three-qubit GHZ resource robustness was investigated under bit-flip, phase-flip, depolarizing, and amplitude-damping noise using the Kraus-operator formalism.
- Multipartite discord can persist beyond the sudden death of genuine multipartite entanglement, revealing distinct robustness of nonclassical correlations.
Context
This research addresses distributed quantum computing infrastructure, specifically controlled quantum teleportation protocols for secure single-qubit state transfer between network parties. The study evaluates how different noise types affect GHZ-based protocols, which are critical for long-range quantum information processing.
Limitations
The evidence is limited to a single arXiv preprint (arXiv:2610.32049v1) without peer review or experimental validation. Results are theoretical and do not include specific numerical data, geographic locations, or author affiliations. The study relies on mathematical characterization rather than empirical measurements.
Generated by Bittrees-hosted qwen35-2b sha256:aaf42c8b7c3c on 26/10/2026, 06:35:47 UTC. Based on publisher-provided feed evidence; may not cover the full original article. Check the source for details.
View archived briefing on IPFS
bafybeiaua4hvhlgtumwl6dmnlgtssurzvlxy2eq3yovfr2d5iixuxoxyrq