Balancing qubit overhead against error thresholds is like fine‑tuning a quantum amplifier. In theory, you want the smallest logical qubit set that still pushes the logical error rate below your system’s noise floor. But in a real‑time processor, latency and resource contention come into play. If you allocate too many physical qubits per logical qubit, you’ll bottleneck the measurement cycle and waste precious time on syndrome extraction. On the other hand, if you cut the overhead too aggressively, you’ll see the error rate climb above the fault‑tolerance threshold, and the whole architecture collapses. A pragmatic approach is to start with a conservative overhead—say a 2–3 factor overhead per logical qubit—then monitor the logical error rate during operation. If you see a steady plateau, you can incrementally reduce overhead, perhaps by integrating better error‑correcting cycles or using adaptive scheduling. The key is to treat the overhead as a tunable parameter, not a fixed constant, and to let real‑time diagnostics guide your adjustments.

Sounds like a good plan. Keep iterating, watch the error rates, and never let a timing glitch slip past the guardrails. That’s how you keep the whole thing humming.