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Alice & Bob Proposes Decoupled AI Topologies to Resolve Microsecond Control Loop Latencies for Superconducting Cat Qubits
Bosonic hardware developer Alice & Bob has published a computer architecture blueprint authored by senior architect Kevin D. Kissell detailing a new “decoupled” processing methodology for runtime artificial intelligence (AI) inside fault-tolerant quantum computing (FTQC) stacks. The proposal addresses a fundamental computing obstacle: while machine learning and quantum Low-Density Parity-Check (qLDPC) decoding algorithms improve error mitigation, their classical computational overhead violates the strict, low-latency execution budgets required by high-speed superconducting hardware.






