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PreprintCC BY 4.0arXiv

Identifying the Sign of Coherent Over-Rotations with Logarithmically Many Pauli Settings

Abstract

Calibrating a quantum processor means estimating gate-error parameters from data, and a hard-to-estimate parameter is usually assumed to leave a weak signature more repetitions will resolve. Coherent over-rotations break that premise. For commuting single- and two-qubit transverse over-rotations with known support on a computational-basis input, the passive histogram is exactly invariant under a sign group acting on the coherent angles, of order 2n+1 for the complete family with n≥2, so no estimator resolves the signs uniformly at any sample size. A calibration correction applied with the wrong sign doubles the rotation error it should remove. At zero angle the obstruction turns continuous, with a Fisher information singular along every coherent direction and an infinite Cramér-Rao bound. At generic angles the continuous defect clears for 5≤ n≤8, the range we compute, while the sign degeneracy persists. Covering the support removes both, and a design resolves the signed angles uniformly exactly when it covers. On |ηR|<π/2, 0≤ pR<1/2 coverage is constructive, returning each angle in closed form from a ratio of two measured expectations without knowing the rates. A twirl-free code of ⌈log2(n+1)⌉ added product-Pauli settings covers, and for the complete family none uses fewer. Conditioning then sets the Cramér-Rao cost, and we give its floor explicitly. Exact computation matches the theory, the passive fit stays at chance on the signs at every budget while the closed-form inverse recovers them, and angle magnitudes on two IBM Heron processors follow the conditioning ordering.

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BibTeX
@misc{pan2026identifying,
  title = {{Identifying the Sign of Coherent Over-Rotations with Logarithmically Many Pauli Settings}},
  author = {Yi Pan and Meng Hsiu Tsai and Weihang You and Hanqi Jiang and Junhao Chen and Wei Zhang and Isaac Lyngaas and Yingfeng Wang and Tianming Liu},
  howpublished = {arXiv},
  year = {2026},
  month = sep,
  doi = {10.48550/arxiv.2607.21663},
  eprint = {2607.21663},
  archivePrefix = {arXiv},
  url = {https://arxiv.org/abs/2607.21663},
  note = {CC BY 4.0},
}
RIS
TY  - UNPB
TI  - Identifying the Sign of Coherent Over-Rotations with Logarithmically Many Pauli Settings
AU  - Yi Pan
AU  - Meng Hsiu Tsai
AU  - Weihang You
AU  - Hanqi Jiang
AU  - Junhao Chen
AU  - Wei Zhang
AU  - Isaac Lyngaas
AU  - Yingfeng Wang
AU  - Tianming Liu
PY  - 2026
DA  - 2026/09/24
PB  - arXiv
DO  - 10.48550/arxiv.2607.21663
UR  - https://arxiv.org/abs/2607.21663
AB  - Calibrating a quantum processor means estimating gate-error parameters from data, and a hard-to-estimate parameter is usually assumed to leave a weak signature more repetitions will resolve. Coherent over-rotations break that premise. For commuting single- and two-qubit transverse over-rotations with known support on a computational-basis input, the passive histogram is exactly invariant under a sign group acting on the coherent angles, of order 2^n+1 for the complete family with n≥2, so no estimator resolves the signs uniformly at any sample size. A calibration correction applied with the wrong sign doubles the rotation error it should remove. At zero angle the obstruction turns continuous, with a Fisher information singular along every coherent direction and an infinite Cramér-Rao bound. At generic angles the continuous defect clears for 5≤ n≤8, the range we compute, while the sign degeneracy persists. Covering the support removes both, and a design resolves the signed angles uniformly exactly when it covers. On |η_R|<π/2, 0≤ p_R<1/2 coverage is constructive, returning each angle in closed form from a ratio of two measured expectations without knowing the rates. A twirl-free code of ⌈log_2(n+1)⌉ added product-Pauli settings covers, and for the complete family none uses fewer. Conditioning then sets the Cramér-Rao cost, and we give its floor explicitly. Exact computation matches the theory, the passive fit stays at chance on the signs at every budget while the closed-form inverse recovers them, and angle magnitudes on two IBM Heron processors follow the conditioning ordering.
ER  -