Microscopic AMDCF Modeling of Two-Qubit Entanglement Sudden Death and Non-Markovian Revival

Building upon the unified Adaptive Memory-Driven Coupling Framework (AMDCF) computational kernel, we extend the model to simulate multi-qubit entanglement networks. Using a 4-qubit system (yielding 6 pairwise entanglement channels) as a testbed, we demonstrate that standard Markovian decoherence leads to complete network concurrence decay. In contrast, by applying the AMDCF exact memory backflow and a network-level adaptive safety valve, the system successfully retains a stable concurrence across all pairs. Simulation results show that while uncontrolled channels collapse to a mean concurrence of 0.0107, the AMDCF-protected network stabilizes at 0.5650. This demonstrates that the AMDCF kernel scales efficiently to high-dimensional quantum networks, offering a robust algorithmic control mechanism against environmental crosstalk and decoherence.

Authors

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2026-10-28
DOI
https://doi.org/10.5281/zenodo.23739851
Primary Topic
Quantum Information and Cryptography
Type
preprint
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preprint

Microscopic AMDCF Modeling of Two-Qubit Entanglement Sudden Death and Non-Markovian Revival

MOHAMMED TAHAR SAIM
1 links
Zenodo (CERN European Organization for Nuclear Research)
Quantum Information and Cryptography
preprint

Microscopic AMDCF Modeling of Two-Qubit Entanglement Sudden Death and Non-Markovian Revival

MOHAMMED TAHAR SAIM
preprint en

Abstract

Building upon the unified Adaptive Memory-Driven Coupling Framework (AMDCF) computational kernel, we extend the model to simulate multi-qubit entanglement networks. Using a 4-qubit system (yielding 6 pairwise entanglement channels) as a testbed, we demonstrate that standard Markovian decoherence leads to complete network concurrence decay. In contrast, by applying the AMDCF exact memory backflow and a network-level adaptive safety valve, the system successfully retains a stable concurrence across all pairs. Simulation results show that while uncontrolled channels collapse to a mean concurrence of 0.0107, the AMDCF-protected network stabilizes at 0.5650. This demonstrates that the AMDCF kernel scales efficiently to high-dimensional quantum networks, offering a robust algorithmic control mechanism against environmental crosstalk and decoherence.

Zenodo (CERN European Organization for Nuclear Research)
Quantum Information and Cryptography
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