Variational Quantum Eigensolver (VQE) simulations for four fundamental quantum gravity models.
A computational framework that encodes four quantum gravity Hamiltonians as qubit operators and solves them using the Variational Quantum Eigensolver (VQE). Ground truth is established via exact diagonalization (numpy.linalg.eigvalsh). All VQE results are validated against these exact eigenvalues.
This is not a claim of new physics — it is a systematic demonstration that discrete quantum gravity models can be faithfully encoded and solved on near-term quantum hardware.
| # | Model | Qubits | Hamiltonian | Exact E₀ | VQE E₀ | Deviation |
|---|---|---|---|---|---|---|
| 1 | Spin Network Area Spectrum | 6 | Heisenberg intertwiner on cyclic graph | -2.662637 | -2.420351 | 9.10% |
| 2 | LQC Big Bounce | 4 | FRW mini-superspace finite-diff Laplacian | -23.692806 | -21.385583 | 9.74% |
| 3 | Regge / CDT Simplicial Gravity | 6 | Transverse-field Ising + exchange on ring | -3.434249 | -3.405818 | 0.83% |
| 4 | Wheeler-DeWitt Equation | 4 | WDW 1D mini-superspace Laplacian | -11.155048 | -11.130582 | 0.22% |
The area operator in Loop Quantum Gravity has a discrete spectrum:
where
References:
- Rovelli, C. & Smolin, L. (1995). Discreteness of area and volume in quantum gravity. Nucl. Phys. B 442, 593-622.
- Mielczarek, J. (2018). Spin Foam Vertex Amplitudes on Quantum Computer. arXiv:1810.07100
- Czelusta, G. & Mielczarek, J. (2021). Quantum Simulations of a Qubit of Space. Phys. Rev. D 103, 046001. arXiv:2003.13124
The quantum bounce replaces the Big Bang singularity at
where
References:
- Ashtekar, A., Pawlowski, T. & Singh, P. (2006). Quantum nature of the Big Bang: Improved dynamics. Phys. Rev. D 74, 084003.
- Ganguly, A., Behera, B.K. & Panigrahi, P.K. (2019). Demonstration of Minisuperspace Quantum Cosmology Using Quantum Computational Algorithms on IBM Quantum Computer. arXiv:1912.00298
- Bojowald, M. (2001). Absence of a singularity in loop quantum cosmology. Phys. Rev. Lett. 86, 5227.
The Regge action discretizes gravity on a simplicial lattice. We encode it as a transverse-field Ising model:
The deficit angle interactions (ZZ coupling) compete with quantum geometry fluctuations (X field). The ground state represents the most probable discrete spacetime configuration.
References:
- Regge, T. (1961). General relativity without coordinates. Nuovo Cimento 19, 558-571.
- Ambjørn, J., Jurkiewicz, J. & Loll, R. (2004). Emergence of a 4D world from causal quantum gravity. Phys. Rev. Lett. 93, 131301.
- Ferguson, C., Nasiri, S. & Sheridan, L. (2025). Dynamics of Discrete Spacetimes with Quantum-enhanced MCMC. arXiv:2506.19538
The Wheeler-DeWitt equation
with domain
References:
- DeWitt, B.S. (1967). Quantum theory of gravity. I. The canonical theory. Phys. Rev. 160, 1113-1148.
- Hartle, J.B. & Hawking, S.W. (1983). Wave function of the Universe. Phys. Rev. D 28, 2960.
- McGuigan, M. (2021). Quantum Computing for Inflationary, Dark Energy and Dark Matter Cosmology. arXiv:2105.13849
Hamiltonian Construction:
Physics equations → Dense NumPy matrix → SparsePauliOp.from_operator()
(No hardcoded Pauli strings — all verified Hermitian, roundtrip error < 1e-15)
Exact Ground Truth:
numpy.linalg.eigvalsh(H_matrix) → exact eigenspectrum
VQE Strategy:
├── Aer Simulator
│ ├── Statevector evaluation (exact ⟨ψ|H|ψ⟩, ~0.01s/eval)
│ ├── COBYLA optimizer (Heisenberg models, multi-start)
│ └── L-BFGS-B + spectral normalization (grid models, informed init)
│
└── IBM Hardware (EstimatorV2)
├── SPSA optimizer (noise-resilient)
├── hamiltonian.apply_layout() for qubit mapping
└── 10-min timeout per job, 10 iteration cap
Ansatz: EfficientSU2 with 'ry','rz' rotations, 'circular' entanglement
-
Spectral normalization is critical for grid-based Hamiltonians. The kinetic/potential scale imbalance (500×) prevents optimizer convergence without
$H_{\text{norm}} = (H - E_{\text{shift}}) / E_{\text{scale}}$ . -
Informed initialization (Ry ≈ π/2, near-Hadamard states) dramatically outperforms random starts for Laplacian ground states — the ground state of
$-\nabla^2 + V$ is close to uniform superposition. -
L-BFGS-B converges 15× faster than COBYLA for normalized grid models (10s vs 165s), but COBYLA with multi-start is more robust for un-normalized Heisenberg-type Hamiltonians.
# Install dependencies
pip install qiskit qiskit-aer numpy scipy
# Run validation of all 4 models
python validate.py
# Run a single model
python -c "
from quantum_gravity_sim import run_gravity_simulation
result = run_gravity_simulation('wheeler_dewitt', 'aer_simulator',
max_iterations=200, depth=3)
print(f'VQE E₀ = {result[\"ground_energy\"]:.6f}')
print(f'Exact E₀ = {result[\"exact_E0\"]:.6f}')
print(f'Deviation = {result[\"deviation_from_exact\"]:.2f}%')
"from quantum_gravity_sim import run_gravity_simulation
result = run_gravity_simulation('spin_network_area', 'ibm_torino',
shots=4096, max_iterations=10, depth=3)Pre-computed results are in results/. Each JSON file contains:
ground_energy: VQE-optimized ground state energyexact_E0: Exact diagonalization ground truthdeviation_from_exact: Percentage deviationconvergence_history: Energy at each function evaluationcomparison.spectrum: Lowest 4 eigenvaluescomparison.spectral_gap: E₁ - E₀comparison.references: Published literature referencesphysical_interpretation: Physics meaning of the result
- These are toy models (4-6 qubits). Real quantum gravity requires thousands of logical qubits with error correction.
- The "ground energies" are effective Hamiltonian eigenvalues, not direct physical observables of spacetime geometry.
- Agreement with exact diagonalization confirms the VQE framework works, not that new physics was discovered.
- No quantum advantage — classical exact diagonalization solves these in microseconds. The VQE demonstrates feasibility at small scale.
- IBM hardware results show 10-30% additional deviation due to decoherence and gate errors.
| Work | Year | Qubits | Model | Our Extension |
|---|---|---|---|---|
| Ganguly et al. (arXiv:1912.00298) | 2019 | 2-3 | WDW mini-superspace | Extended to 4 qubits with L-BFGS-B |
| Mielczarek (arXiv:1810.07100) | 2018 | 5 | Spin foam vertex | Intertwiner ground state on 6 qubits |
| McGuigan (arXiv:2105.13849) | 2021 | 2-4 | WDW dark energy | Systematic exact-diag validation |
| Asaduzzaman et al. (arXiv:2311.17991) | 2023 | — | SYK on IBM | Different model, similar methodology |
| Ferguson et al. (arXiv:2506.19538) | 2025 | — | Causal set MCMC | We do Regge/CDT as Ising model |
Our contribution: A systematic 4-model VQE comparison framework with honest exact-diagonalization validation — no published work combines all four quantum gravity directions (LQG, LQC, CDT, WDW) in a single benchmarking framework.
MIT
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