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This theoretical study proposes a minimal quantum-memory architecture using tunable superconducting qubits to store and retrieve quantum light via dynamic detuning control. By coupling superradiant and subradiant states, the system achieves slow-light behavior essential for scalable superconducting quantum networks. The work advances fundamental understanding of quantum-light storage mechanisms without yet demonstrating experimental validation.
Quantum memory in an effective $\Lambda$-type system using dynamic detuning control of a superconducting qubit pair
arXiv:2609.34201v1 Announce Type: new Abstract: We theoretically investigate quantum-light storage in an effective $\Lambda$-type system formed by a pair of tunable superconducting qubits coupled to a semi-infinite transmission line and separated by half a wavelength. The frequency detuning between the qubits directly couples the superradiant excited state and the subradiant metastable state. By adjusting the qubit detuning, the system exhibits a controllable spectral response accompanied by slow-light behavior. Dynamically controlling the detuning enables an incident quantum field to be mapped onto the subradiant collective state, stored as a long-lived excitation, and subsequently retrieved on demand. Our results establish the proposed system as a minimal and tunable quantum-memory architecture for scalable superconducting quantum networks.
Abstract:We theoretically investigate quantum-light storage in an effective $\Lambda$-type system formed by a pair of tunable superconducting qubits coupled to a semi-infinite transmission line and separated by half a wavelength. The frequency detuning between the qubits directly couples the superradiant excited state and the subradiant metastable state. By adjusting the qubit detuning, the system exhibits a controllable spectral response accompanied by slow-light behavior. Dynamically controlling the detuning enables an incident quantum field to be mapped onto the subradiant collective state, stored as a long-lived excitation, and subsequently retrieved on demand. Our results establish the proposed system as a minimal and tunable quantum-memory architecture for scalable superconducting quantum networks.
arXiv:2609.34201 [quant-ph]
(or arXiv:2609.34201v1 [quant-ph] for this version)
https://doi.org/10.48550/arXiv.2609.34201 Focus to learn more arXiv-issued DOI via DataCite (pending registration)
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