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PEA/ZNE and the decisive quantum-advantage experiment

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Part 6 · hardware decision

The local task is classically solvable, yet a quantum processor might still reach a 1%-accurate answer sooner. That narrower claim is measurable.

Why only two measurement settings are needed

All thirteen X probes can be measured in one X-basis family. The thirteen Z and sixteen ZZ probes share a Z-basis family. This grouping keeps the shot cost far below a separate execution for every observable.

The PEA/ZNE transfer estimate

A separately validated 51-qubit Floquet workflow used noise factors 1.0, 1.3 and 1.6, 1,024 shots per factor, twirling, measurement mitigation and fresh learning of up to three layer-noise models. It consumed 41 charged QPU seconds. Early depths matched the classical reference well; the full eight-cycle accuracy gate did not pass.

Transferred to this shallower two-layer task, the estimate is 25–26 QPU seconds at the original statistics and roughly 31–45 seconds if target shots are increased toward 1% statistical precision. Against the current 393-second high-precision classical route, that is a possible factor of 8.7–12.7 in charged QPU time.

Requirement Pass condition
Accuracy Less than 1% preregistered total error, including systematic effects
Classical fairness Optimize the lightcone/MPS route for the same 1% tolerance
Quantum cost Count learning, mitigation and execution; report queue time separately
Coverage Evaluate all 42 frozen observables, not a favorable subset
Reproducibility Freeze the ISA circuit hash, shots, backend and mitigation configuration before submission

IBM describes PEA as a ZNE amplification method that first learns a twirled layer-noise model and then injects scaled noise before extrapolation. It can improve utility-scale expectation values, but it cannot guarantee an unbiased answer.

Conclusion. The project has identified a credible experiment for task-specific practical QPU-time advantage. The advantage itself remains unproven until the hardware result and a matched 1%-accuracy classical benchmark both exist.
Project page: HaPPY gravity

  1. Part 1: Gravity as a phase gate
  2. Part 2: Bosons and convergence
  3. Part 3: The dynamic HaPPY benchmark
  4. Part 4: The N=145 classical audit
  5. Part 5: MPS and Majorana baselines
  6. Part 6: PEA/ZNE and the decisive test

Sources and reproducibility

  • Bose et al., A Spin Entanglement Witness for Quantum Gravity
  • Marletto & Vedral, Gravitationally Induced Entanglement
  • Sabín, Digital quantum simulation of quantum gravitational entanglement
  • Pastawski et al., Holographic quantum error-correcting codes
  • IBM Quantum documentation: ZNE and PEA
  • Public code, numerical reports and full 42-value table on GitHub

Project status: 14 August 2026. Numerical values come from the frozen public research artifacts; claim boundaries are deliberately preserved.

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