Numerical tests of five predictions motivated by a research prospectus synthesizing causal set theory, spin networks, tensor networks, von Neumann algebras, and entanglement renormalization.
The prospectus in quantum-gravity-synthesis.md
proposes a minimal 5-axiom system (causal order, CCR algebra, distinguished SJ
state, observer-dependence via crossed product, holographic entropy) that links
the algebraic and combinatorial pillars of quantum gravity. Its central
mathematical conjecture — the Unitary Equivalence Conjecture — relates the SJ
vacuum GNS representation to spin network representations via the exponentiated
LQG area operator.
The QGUST toolkit tests five concrete predictions from the constituent frameworks. Two distinctive claims (the UEC and the horizon-molecule bridge) have no direct numerical test in the current toolkit; what is tested are properties the synthesis inherits from its components.
| # | Test | Status | What It Discriminates | Key Finding |
|---|---|---|---|---|
| 1 | Discrete entropy jumps | ✓ Verified | SU(2) recoupling (not synthesis-specific) |
|
| 2 | SJ Vacuum Entropy Scaling | CST discretization (not synthesis-specific) | Volume-law ( |
|
| 3 | GUE level statistics | ✗ Falsified | Free-field modular spectrum | Spectrum is Poisson (KS=0.032); free SJ vacuum is integrable |
| 4 | ✓ Derived; |
Horizon molecule Boltzmann counting (component of synthesis) | Derivation complete; 2D model cannot verify 4D exponent | |
| 5 | SU(2) fidelity bound |
✓ Verified | SU(2) CG identities (not synthesis-specific) | CG bugs fixed; all orthogonality checks pass |
The conclusion's dependency table tracks the status of every claim with its gauge-group and discretization dependencies, and marks whether each test probes the synthesis's connections or only its components.
qgust/
├── qgust/ # Python package
│ ├── core/ # Core numerical infrastructure
│ │ ├── causal_set.py # Causal set sprinkling, causal matrix, SJ spectrum
│ │ └── modular.py # Symplectic eigenvalues, entropy, modular ratio, tripartite info
│ ├── pred1_entropy_jumps/run.py # Discrete entropy jumps via SU(2) recoupling
│ ├── pred2_central_charge/run.py # SJ vacuum entropy scaling
│ ├── pred3_gue_statistics/run.py # Modular β spectrum level statistics
│ ├── pred4_horizon_molecules/ # Schwarzschild causal set + entropy scaling
│ │ ├── run.py
│ │ └── derivation.md # T_cutoff derivation
│ ├── pred5_su2_nogo/run.py # SU(2) CG coefficients, intertwiners, fidelity bound
│ └── cli.py # CLI entry point
├── tests/test_modular.py # 6/6 tests passing
├── quantum-gravity-synthesis.md # Full prospectus document (v1.0)
├── pyproject.toml
└── README.md
- Python 3.13+
- NumPy 2.5+
No SciPy dependency. CG coefficients for
python -m qgust.cli --help
python tests/test_modular.py # Run test suite- Code (the
qgust/package, tests, and all.pyfiles): MIT License — seeLICENSE. - Document (
quantum-gravity-synthesis.md): Creative Commons Attribution 4.0 International (CC-BY-4.0).
If you use this work, cite the prospectus document:
The QGUST Authors (2026). Quantum Gravity from Information-Theoretic Principles: A Research Prospectus. https://github.com/cloudenum/qgust