Multipartite entanglement dynamics in quantum walks
arXiv QuantumArchived Mar 27, 2026✓ Full text saved
arXiv:2603.24679v1 Announce Type: new Abstract: Quantum walks constitute a rich area of quantum information science, where multipartite entanglement plays a central role in the dynamics and scalability of quantum advantage over classical simulators. In this work, we study the multipartite entanglement of quantum walks in optical settings. We present methods for computing a geometric measure of entanglement for arbitrary partitions of a single-walker quantum walk and for analyzing the entanglemen
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Quantum Physics
[Submitted on 25 Mar 2026]
Multipartite entanglement dynamics in quantum walks
Emil K. F. Donkersloot, René Sondenheimer, Jan Sperling
Quantum walks constitute a rich area of quantum information science, where multipartite entanglement plays a central role in the dynamics and scalability of quantum advantage over classical simulators. In this work, we study the multipartite entanglement of quantum walks in optical settings. We present methods for computing a geometric measure of entanglement for arbitrary partitions of a single-walker quantum walk and for analyzing the entanglement in multi-walker scenarios. These techniques are used for numerical studies on the entanglement dynamics of quantum walks in large systems and under various initial conditions. For a given bipartition, based on the coin degrees of freedom, we derive exact expressions describing the complete entanglement dynamics for arbitrary localized initial conditions. We use these expressions for analytic statements about the asymptotic behavior of the system. Furthermore, we demonstrate the emergence of entanglement typicality in statistical ensembles of random optical networks.
Comments: 13 pages + 3 appendix, 9 figures
Subjects: Quantum Physics (quant-ph)
Cite as: arXiv:2603.24679 [quant-ph]
(or arXiv:2603.24679v1 [quant-ph] for this version)
https://doi.org/10.48550/arXiv.2603.24679
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Submission history
From: René Sondenheimer [view email]
[v1] Wed, 25 Mar 2026 18:01:08 UTC (2,118 KB)
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