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MPS, Majorana truncation, and the danger of one classical baseline

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Part 5 · classical competition

A quantum-advantage claim cannot be built on the failure of one classical method. Here, three classical views tell very different stories.

The global MPS warning

For the full 61-qubit depth-2 state, graph-aware MPS runs remain strongly inconsistent between χ = 64 and χ = 128. That says the tested global representation is not converged. It does not say that every useful output is hard.

The Majorana truncation warning

At depth one, exact Majorana propagation is an excellent independent check. At depth two, a weight-32 truncation has a maximum error of about 0.380 on the tested local panel. Weight 64 exceeds the explicit 200,000-term boundary. This route is not competitive for the selected task.

The lightcone resolution

Exact backwards cones solve 41 observables, while a local graph-aware MPS converges the remaining one. The strongest classical method is therefore neither the global MPS nor the truncated Majorana solver, but a task-specific hybrid of exact cones and one local tensor network.

General lesson: compare algorithms on the same output, tolerance, instance and hardware budget. Hilbert-space dimension and entanglement are diagnostics, not runtime proofs.
Claim boundary. Global sampling remains open. The evidence only rules out advantage for the frozen set of local observables at depths one and two.
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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