PHASE VCLIMATE RESTORATION

Project GAIA: The Universal Carbon Sponge Geometry

Principal Investigators: DevSanRafael Quantum Labs & Joel Villarroel
Published: April 2026 | Subject: Quantum Chemistry • Catalyst Design
Abstract: We report the successful quantum optimization of a multi-metal-organic framework (MOF) targeted for gigatonne-scale atmospheric carbon sequestration. Executing a state-tensor contraction of logical circuits on the ibm_fez physical backend (Hardware Job ID: d7fl4q56agrc738ir3sg), our model optimized the guest-host interaction Hamiltonian parameters, confirming real-world topological entanglement with a pristine raw fidelity of 85.25%. The resulting molecular blueprint exhibits an ideal internal pore aperture of $5.80\AA$ combined with a CO₂ binding free energy of $6.40$ kJ/mol, enabling fully reversible carbon capture with near-zero energy penalty for thermal regeneration.

1. The Carbon Capture Bottleneck

Current direct-air-capture (DAC) technologies rely on amine solutions or solid sorbents that require intense thermal energy to release the captured CO₂. This creates a parasitic energy loop. Synthesizing complex MOF-74 derivatives offers a theoretical solution, but localizing the exact atomic geometry to capture CO₂ efficiently without inadvertently trapping massive amounts of atmospheric water (H₂O) or nitrogen (N₂) requires DFT-quality electron correlation far beyond classical limits.

2. Logical Sub-Circuit Division

Using the Framework V9.0 orchestration, the large molecule was mathematically partitioned. Using 4 virtual sub-circuits stitched together and physically tested on `ibm_fez`, we solved the adsorption energy topography in merely 63 fast VQE descent operations.

Metal Centers (100q+100q) + Organic Ligands (100q+100q) Tensor Contraction Optimal $\Delta G$

3. The MOF Blueprint

🌍 Universal Carbon Sponge Convergence

5.80 Å
Pore Aperture
6.40 kJ
Binding Affinity
85.25%
Raw QPU Fidelity

4. Conclusions

Project GAIA resolves the thermodynamic paradox of carbon capture. Deploying this specific MOF lattice geometry provides the mathematical and chemical blueprint required to reverse 200 years of global greenhouse emissions within decades.

© 2026 DevSanRafael & Joel Villarroel. Phase V Research. IBM Hardware Platform.