LQG-Enhanced Warp Bubble Verification Framework

Verification framework for LQG-enhanced warp bubble energy optimizations with reproducible computational methods and stability analysis.

Overview

This repository provides the computational verification framework for the paper "Verification of LQG Warp Bubble Optimizations: Computational Methods and Limitations". It contains tools to:

1. Reproduce Energy Optimization Claims: Separation of "pipeline feasibility ratio" (~30x) from system-level accounting (~1083x).
2. Verify Enhancement Factors: Symbolic derivations and numerical validation for Cavity QED, Squeezing, and LQG methods.
3. Analyze Stability: Iterative backreaction solvers with adaptive damping, 3+1D toy evolution models, and causality screening.
4. Explore Parameter Space: Monte Carlo sensitivity analysis and parameter sweeps.

Disclaimer: This work identifies strictly numerical parameter regimes where energy ratios approach (\mathcal{O}(1)) contingent on heuristic models. It does not constitute proof of physical feasibility or existence of a warp drive.

Key Features

• Iterative Backreaction: Solves Einstein equations with stress-energy feedback (scripts/backreaction_iterative_experiment.py).
• Enhancement Derivations: SymPy-based verification of $F_{cav} = \sqrt{Q}$, $F_{sq} = e^r$, etc. (scripts/derive_enhancements.py).
• Stability Probes:
  • Adaptive Damping for solver convergence.
  • 3+1D Toy Evolution (ADM-like) showing stability ($\lambda < 0$).
  • Curved-Spacetime Quantum Inequality checks (Toy models).
• Batch Reproducibility: Orchestrates complete verification pipeline (scripts/batch_analysis.py).

Installation

git clone https://github.com/arcticoder/warp-bubble-qft.git
cd warp-bubble-qft
python -m venv .venv
source .venv/bin/activate
pip install -r requirements.txt

Usage

The primary interface is the consolidated CLI scripts/main.py or the batch runner scripts/batch_analysis.py.

Quick Reproducibility Check

Run the core verification pipeline (approx. 2 minutes):

python scripts/main.py batch --session-name quick_check --quick

Full Paper Reproduction

Generate all plots and data tables used in the manuscript:

python scripts/batch_analysis.py --session-name final_verif \
    --include-derivations \
    --include-integrated-qi-3d \
    --use-adaptive-damping

Results will be stored in results/final_verif/.

Individual Modules

Iterative Backreaction:

python scripts/backreaction_iterative_experiment.py --mu 0.10 --R 2.3 --outer-iters 5 --save-plots

Toy Evolution:

python scripts/toy_evolution.py --mu 0.15 --R 3.0 --t-final 2.0 --save-plots

Repository Structure

• papers/: Manuscript source (lqg_warp_verification_methods.tex) and figures.
• scripts/: All executable scripts (CLI, batch runners, experiments).
• src/warp_qft/: Core library code (physics models, solvers).
• results/: Output directory for reproducibility artifacts.
• docs/: Methodological documentation and reports.

Methods & Verification

Details of the implementation are available in the manuscript and docs/ folder.

• Energy Discrepancy: The "1083x" figure from related work refers to a cross-repository total energy accounting. The pipeline optimization factor is ~340x (combined) / ~30x (rigorous geometric). See scripts/discrepancy_analysis.py.
• Quantum Inequalities: We verify that while flat-space bounds are violated, toy curved-space bounds are satisfied in the optimized regime. See scripts/curved_qi_verification.py.

License

This project is released under the MIT License.