C060 - For Rabi-frequency errors (unwanted X_e X_e), the simulated 80-cycle error increase is so...
Verdict: verified
Location: Supp. Mat. S3
Type / expected artifact: empirical / math / numeric
Claim: For Rabi-frequency errors (unwanted X_e X_e), the simulated 80-cycle error increase is solely due to slower convergence; the steady-state error is completely unaffected.
Models: extraction claude-opus-4-8; verification gpt-5; verification_chain claude-opus-4-8 -> gpt-5; verdict_chain verified -> verified.
Source location(s): source/supp_content.tex:111 (Supp. Mat. S3).
Conclusion
Rabi error rescales Omega -> area Phi=(1+eps)^2*pi/4. In the self-contained model the steady-state singlet fidelity is exactly 1.0 for all eps in {-0.1,0,0.02,0.05,0.1,0.2}: |Psi-> stays the unique fixed point, so the steady-state error is completely unaffected (as claimed). N0 grows with |eps| (7.62->17.4 at eps=0.2) and the finite-80-cycle fidelity drops (0.99998->0.99088), so the 80-cycle error increase is purely a convergence slowdown. This is a clean fixed-point fact, not a reproduced measurement -> verified.
Verification details
Executable rerun: run.py exited 0 in 0.564s; log verification/C060/attempts/R002/run.log.
Output excerpt:
=== C060: Rabi-frequency error -> steady-state error unaffected, only slower convergence ===
eps_Omega Phi/(pi/4) F_steady(|Psi->) N0(cycles) F@80cyc
0.00 1.0000 1.00000000 7.617 0.99998
0.02 1.0404 1.00000000 7.611 0.99998
0.05 1.1025 1.00000000 7.849 0.99997
0.10 1.2100 1.00000000 9.064 0.99987
0.20 1.4400 1.00000000 17.445 0.99088
-0.10 0.8100 1.00000000 9.333 0.99984
Interpretation:
- Steady-state singlet fidelity stays = 1 (|Psi-> is the unique fixed point)