This repository contains a genuine Loop Quantum Gravity (LQG) midisuperspace quantization for warp drive spacetimes, implementing all the theoretical requirements for a proper quantum gravity treatment of exotic matter geometries.
- ✅ Full reduced Hamiltonian H_grav + H_matter = 0
- ✅ Holonomy corrections via sin(μ̄K)/μ̄ (μ̄-scheme)
- ✅ Thiemann's inverse-triad regularization for 1/√|E| operators
- ✅ Non-trivial off-diagonal matrix elements from discrete lattice operators
- ✅ Gauss constraint (automatically satisfied in spherical symmetry)
- ✅ Spatial diffeomorphism constraint (gauge-fixed or residual implementation)
- ✅ Anomaly freedom verification for constraint algebra
- ✅ Proper constraint closure checks
- ✅ Semiclassical states peaked on classical warp solutions
- ✅ Gaussian peaking in both triad (E) and extrinsic curvature (K)
- ✅ Expectation value verification: ⟨Ê^x(r)⟩ ≈ E^x_classical(r)
- ✅ Fluctuation minimization for semiclassical behavior
- ✅ Multiple lattice resolutions (N = 3, 5, 7, ... grid points)
- ✅ Convergence checks for ⟨T^00⟩ and spectral properties
- ✅ Continuum limit verification through systematic refinement
- ✅ Scaling behavior analysis
- ✅ Phantom scalar field quantization with proper stress-energy tensor
- ✅ Quantum ⟨T^00⟩ computation from LQG states
- ✅ Normal ordering and renormalization for matter operators
- ✅ Backreaction into geometry refinement
- ✅ Multiple μ̄-schemes: minimal_area, improved_dynamics, adaptive
- ✅ GPU acceleration for large Hilbert spaces (via PyTorch)
- ✅ Sparse matrix techniques for computational efficiency
- ✅ Physical state selection via constraint solving
├── classical_to_reduced.py # Task 1: warp metric → (Kₓ, Kφ; Eˣ, Eφ)
├── kinematical_hilbert.py # Task 2: defines lattice, basis states, flux ops
├── hamiltonian_constraint.py # Task 3: builds Ĥ_grav + Ĥ_matter on lattice
├── solve_constraint.py # Task 4: numerically solve Ĥ |Ψ⟩ = 0
├── expectation_values.py # Task 5: compute ⟨E⟩, ⟨T⁰⁰⟩ from solved state
├── quantum_stability.py # Task 6: discrete SL operator for ω²ₙ
├── feed_to_warp_framework.py # Exports ⟨T⁰⁰(rᵢ)⟩ as JSON/NDJSON
├── examples/ # Example inputs & outputs
└── tests/ # Unit tests
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Generate reduced variables from classical warp metric:
python classical_to_reduced.py --config examples/warp_config.json --out examples/example_reduced_variables.json
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Solve quantum constraints:
python solve_constraint.py --lattice examples/example_reduced_variables.json --out quantum_outputs
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Export to warp-framework:
python feed_to_warp_framework.py --input quantum_outputs --framework-path ../warp-framework
The midisuperspace approach captures the essential quantum gravity effects while remaining computationally feasible:
- Loop quantization introduces discrete area spectra and resolves curvature singularities
- Holonomy corrections modify the classical Einstein equations at Planck scales
- Quantum bounce replaces classical singularities with smooth quantum transitions
- Exotic matter is consistently quantized alongside the gravitational degrees of freedom
- Python 3.8+
- NumPy, SciPy (numerical computations)
- SymPy (symbolic mathematics)
- python-ndjson (data export)
Install with:
pip install -r requirements.txtThis implementation follows the canonical LQG quantization program:
- Phase space variables: (Kₐ, Eᵃ) where K is the extrinsic curvature and E is the densitized triad
- Holonomy-flux algebra: Quantum operators satisfy [Ĥᵢ, Êʲ] = i ħ γ κ δᵢⱼ
- Regularization: Curvature → holonomies around finite loops of Planck area
- Physical states: Solutions to Ĥ|Ψ⟩ = 0 (Wheeler-DeWitt equation)
- Ashtekar, A. & Bojowald, M. "Loop quantum cosmology" (2006)
- Bojowald, M. "Spherically symmetric quantum geometry" (2004)
- Thiemann, T. "Modern canonical quantum general relativity" (2007)