Reframes polarity from binary classification (standard/inverted) to a continuous strength measure. Hardware scaling across CH8, CH12, and CH16 configurations reveals that polarity magnitude depends on circuit depth and coherence budget.
Manifold polarity, first identified as a binary property in Paper 1, is more accurately described as a continuous projection of the patient’s covariance shift onto the circuit’s fixed measurement axis. The sign determines polarity direction; the magnitude determines signal strength. Two patient populations emerge: strongly polar (chb03, chb21) whose polarity is stable across configurations, and weakly polar (chb01, chb05, chb07, chb14) whose polarity direction is configuration-dependent.
All results from IBM Torino (Heron r1), 1024 shots, no error mitigation.
| Configuration | Channels | Qubits | Raw AUC | Oracle-Cal AUC | N Inverted |
|---|---|---|---|---|---|
| CH8 @ 1.95s | 8 | 17 | 0.524 | 0.637 | 3 |
| CH8 @ 20s | 8 | 17 | 0.404 | 0.605 | 6 |
| CH12 | 12 | 25 | 0.522 | 0.565 | 4 |
| CH16 | 16 | 33 | 0.512 | 0.512 | 0 |
All AUC values labeled “oracle-calibrated” assume known polarity. CH16 collapses to chance — 246 CZ gates exceed the coherence budget.
Honest reporting of pre-registered predictions against actual hardware results:
7 patients selected from CHB-MIT: chb01, chb03, chb05, chb07, chb11, chb14, chb21. Selection criteria: sufficient seizure events for LOSO validation, consistent recording montage, and coverage of both polarity populations identified in Paper 1 simulation results.
Manuscript finalized. TechRxiv submission pending platform reopening (expected April 2026). No DOI or preprint link available yet.