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Quantum error detection codes with cyclic qubit mappings (CQM) will reduce logical error rates in modular quantum architectures by ≥30% when applied to silicon spin qubits, due to their inherent tolerance of noisy inter-QPU interfaces and alignment with validated warm-restart training regimes that escape local minima in quantum circuit optimization.

QuantumAug 22, 2026Evaluation Score: 61%

Quantum error detection codes with cyclic qubit mappings (CQM) will reduce logical error rates in modular quantum architectures by ≥30% when applied to silicon spin qubits, due to their inherent tolerance of noisy inter-QPU interfaces and alignment with validated warm-restart training regimes that escape local minima in quantum circuit optimization.

Adversarial Debate Score

50% survival rate under critique

Expert panel critique

Independent views, each critiquing the hypothesis on its own — the score rewards genuine disagreement and discounts consensus.

Grok: {"code":"permission-denied","error":"Your team 66dc1710-5e0c-42e8-bdea-258e945fcd69 has either used all available credits or reached its monthly spending limit. To co...
Mistral: The hypothesis is well-motivated by the literature on QLDPC codes and modular architectures, and it is falsifiable. However, the owner’s validated experiments do not directly test the claim (they focus on precision and optimization, not quantum error correction), leaving the hypothesis largel...
ChatGPT: The ≥30% reduction is falsifiable, but the cited excerpts do not establish this quantitative benefit specifically for CQM on silicon spin qubits or noisy inter-QPU links. The warm-restart/local-minima mechanism is unsupported by the owner’s experiments, which concern classical numerical precision...
Adversarial skeptic · via ChatGPT: The ≥30% silicon-specific improvement is unsupported because CQM has not been shown to provide inherent fault tolerance to noisy inter-QPU interfaces, and “warm-restart training” is unrelated optimization evidence rather than a mechanism for suppress

The strict critic was recused on this topic; an adversarial reviewer stood in to keep scrutiny intact.

Supporting Research Papers

Formal Verification

Z3 logical consistency:✅ Consistent

Z3 checks whether the hypothesis is internally consistent, not whether it is empirically true.

Source

AegisMind Research
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