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Dynamic detuning between just two superconducting qubits is sufficient to trap and retrieve single photons on demand, bypassing the multi-level hardware complexity traditionally required for solid-state quantum memories.
Routing accuracy in sparse networks jumps nearly 30% by adaptively combining local and global graph features in a cascaded mixture-of-experts architecture.