Phase 3 Kingston ZNE Statistical Repeat¶

Date: 2026-05-20

Purpose¶

This run is a same-backend, same-layout statistical repeat for the Phase 3 reduced-Pauli ZNE paper result. It is not a new exploratory protocol. It keeps the completed Kingston third-backend ZNE design fixed and tests whether the DLA-worsens / FIM-improves pattern survives an independent execution under same-day backend and calibration drift.

Fixed Protocol¶

Field	Value
Backend	`ibm_kingston`
Physical qubits	`[141,142,143,144]`
Channels	`dla_odd_signal/XXII`, `dla_odd_signal/YYII`, `dla_odd_shallow/IIXX`, `dla_odd_shallow/IIYY`, `fim_lambda4_feedback/IZZI`
Noise scales	`1,3,5`
Repetitions	`3` per channel and scale
Main shots	`2048`
Readout shots	`8192`
Readout calibration	full 16-state computational-basis calibration
Budget ceiling	`25.0` QPU minutes

Readiness¶

No-submit readiness command:

PYTHONDONTWRITEBYTECODE=1 python scripts/phase3_entanglement_tomography_ibm.py \
  --backend ibm_kingston \
  --physical-qubits 141,142,143,144 \
  --zne-subset-rows data/phase3_entanglement_tomography/entanglement_tomography_rows_2026-05-20_ibm_fez_pinned_full_readout.csv \
  --zne-noise-scales 1,3,5 \
  --max-depth 1900 \
  --max-total-gates 5000

Readiness artefact:

data/phase3_entanglement_tomography/entanglement_tomography_live_ibm_kingston_2026-05-20T114659Z.json
SHA256: 6b06eeba71d7ff12b3990e9eaaa6ec68457de33eb9c1c45232506b3c9826df7b

Readiness result:

Field	Value
Status	`readiness_passed`
Main circuits	45
Readout circuits	16
Estimated QPU minutes	0.5591666666666667
Budget ceiling minutes	25.0
Maximum transpiled depth	1683
Maximum basis-expansion ratio	4.836206896551724

Submission And Completion¶

Approved async submission command:

PYTHONDONTWRITEBYTECODE=1 python scripts/phase3_entanglement_tomography_ibm.py \
  --backend ibm_kingston \
  --physical-qubits 141,142,143,144 \
  --zne-subset-rows data/phase3_entanglement_tomography/entanglement_tomography_rows_2026-05-20_ibm_fez_pinned_full_readout.csv \
  --zne-noise-scales 1,3,5 \
  --max-depth 1900 \
  --max-total-gates 5000 \
  --submit-async \
  --confirm-budget

Canonical pending artefact:

data/phase3_entanglement_tomography/entanglement_tomography_live_ibm_kingston_2026-05-20T114719Z.json
SHA256 after pending-job registration: 060718902e20d92e910470637f01fe3d58b67d483d22618dbd0ae611bd06459e

IBM jobs:

Role	Job ID	Status at submission verification
Main ZNE circuits	`d86pul0p0eas73dla3dg`	`RUNNING`
Full 16-state readout calibration	`d86pul8p0eas73dla3eg`	`RUNNING`

Submission readiness snapshot:

Field	Value
Main circuits	45
Readout circuits	16
Estimated QPU minutes	0.5591666666666667
Maximum transpiled depth	1657
Maximum basis-expansion ratio	4.735632183908046

Both jobs completed and were hydrated into the canonical artefact.

Reducer command:

PYTHONDONTWRITEBYTECODE=1 python scripts/analyse_phase3_entanglement_zne.py \
  data/phase3_entanglement_tomography/entanglement_tomography_live_ibm_kingston_2026-05-20T114719Z.json \
  --result-tag 2026-05-20_ibm_kingston_zne_repeat

Reducer outputs:

data/phase3_entanglement_tomography/entanglement_zne_summary_2026-05-20_ibm_kingston_zne_repeat.json
data/phase3_entanglement_tomography/entanglement_zne_scale_rows_2026-05-20_ibm_kingston_zne_repeat.csv
data/phase3_entanglement_tomography/entanglement_zne_channel_summary_2026-05-20_ibm_kingston_zne_repeat.csv
docs/campaigns/phase3_entanglement_zne_manifest_2026-05-20_ibm_kingston_zne_repeat.md

Result snapshot:

Field	Value
Scale rows	15
Channels	5
Scale-1 mean absolute deviation	0.4655910323155505
Linear ZNE mean absolute deviation	0.48161750800999487
Readout-mitigated linear ZNE mean absolute deviation	0.48931903445861447
Quadratic ZNE mean absolute deviation	0.48251293904941395

Channel-level result: all four DLA transverse channels again move farther from exact under linear ZNE, while the FIM control improves. This satisfies the paper-use criterion for same-layout drift robustness.

Claim Boundary¶

This is a completed statistical repeat for drift robustness of the already completed Kingston ZNE stress test. It does not expand the system size, does not add new channels, does not claim backend-general dynamics, and does not change the preregistered five-channel ZNE claim boundary.

Recovery¶

Check live job status:

PYTHONDONTWRITEBYTECODE=1 python - <<'PY'
from pathlib import Path
import importlib.util
from qiskit_ibm_runtime import QiskitRuntimeService

spec = importlib.util.spec_from_file_location(
    "phase1", "scripts/phase1_mini_bench_ibm_kingston.py"
)
phase1 = importlib.util.module_from_spec(spec)
spec.loader.exec_module(phase1)
credential_value, instance = phase1.parse_vault(
    Path("~/.config/scpn-quantum-control/credentials.md").expanduser()
)
service = QiskitRuntimeService(
    channel="ibm_cloud",
    token=credential_value,
    instance=instance,
)
for role, job_id in {
    "main": "d86pul0p0eas73dla3dg",
    "readout": "d86pul8p0eas73dla3eg",
}.items():
    job = service.job(job_id)
    print(f"{role}\t{job_id}\t{job.status()}")
PY

The completed reduction command was:

PYTHONDONTWRITEBYTECODE=1 python scripts/analyse_phase3_entanglement_zne.py \
  data/phase3_entanglement_tomography/entanglement_tomography_live_ibm_kingston_2026-05-20T114719Z.json \
  --result-tag 2026-05-20_ibm_kingston_zne_repeat

Paper-use criterion:

Satisfied: the repeat again shows all four DLA transverse channels worsening under linear ZNE while the FIM control improves.