Autonomous stabilization of remote entanglement in a cascaded quantum network
- URL: http://arxiv.org/abs/2509.11872v2
- Date: Wed, 22 Oct 2025 01:59:50 GMT
- Title: Autonomous stabilization of remote entanglement in a cascaded quantum network
- Authors: Abdullah Irfan, Kaushik Singirikonda, Mingxing Yao, Andrew Lingenfelter, Michael Mollenhauer, Xi Cao, Aashish A. Clerk, Wolfgang Pfaff,
- Abstract summary: We show that remote entanglement can be stabilized indefinitely, instead of only periodically regenerated and redistributed after decay.<n>Our results enable on-demand delivery of high-fidelity entanglement in modular quantum processors and networks.
- Score: 0.44970015278813036
- License: http://creativecommons.org/licenses/by/4.0/
- Abstract: Remote entanglement between widely separated qubits is a fundamental quantum phenomenon and a critical resource for quantum information applications. Generating entanglement between independent qubits separated by arbitrary, potentially large distances requires propagating quantum states, and is typically achieved using pulsed protocols combining distinct steps of local entanglement generation followed by distribution. This necessity raises an intriguing question: Can remote entanglement can be stabilized indefinitely, instead of only periodically regenerated and redistributed after decay? Here, we demonstrate that this is indeed possible, reporting autonomous stabilization of entanglement between two separate superconducting-qubit devices. Combining nonreciprocal waveguide coupling and local driving, we experimentally realize a symmetry-based coherent quantum-absorber scheme in a cascaded network. We quantify the degree of entanglement through quantum state tomography, finding that the protocol's entangling power is severely limited by imperfections that break the required symmetry. We show, however, that a modified protocol based on an alternate symmetry is far more robust, enabling us to achieve a concurrence approaching 0.5, a limit set only by local loss in the network. Our results enable on-demand delivery of high-fidelity entanglement in modular quantum processors and networks and pave the way for autonomously protecting distributed quantum information.
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