The Rotation Gap Is Not An Error: Ternary Structure in IBM Quantum Hardware
Selina Stenberg

TL;DR
This paper reveals that IBM quantum hardware exhibits structured error patterns, challenging assumptions in quantum error correction, and introduces a classifier decoder that improves logical error rates by distinguishing error types.
Contribution
It provides evidence of non-random structured errors in IBM hardware and proposes a novel classifier decoder to enhance quantum error correction performance.
Findings
IBM hardware shows sub-Poissonian syndrome statistics indicating structured errors.
The classifier reduces logical error rates by 7-19% across various conditions.
Standard correction can destroy quantum information by miscorrecting ternary states.
Abstract
Quantum error correction assumes that all syndrome activations represent errors requiring correction. We present evidence from 756 QEC runs across three IBM Eagle r3 processors that this assumption is wrong. The hardware exhibits sub-Poissonian syndrome statistics (Fano factor F = 0.856, t = -131 against Poisson, zero dependence on code distance), indicating that a fraction of syndrome events are not random noise but structured cooperative transitions. We introduce a regime classifier decoder that distinguishes binary errors (which should be corrected) from ternary transitions (which should not). On a mixed binary/ternary error model calibrated to IBM hardware statistics, the classifier reduces logical error rates by 7-19% at static detection depth (tau = 1) across all cell sizes, with statistical significance p < 0.05 in 7 of 8 test conditions (p < 0.0001 in all four tau = 1…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
