Next Martian Inc

Mars Terraforming & Earth Climate Repair Using Quantum-Enhanced Environmental Intelligence from Next Martian

The project is completely open-source, welcoming enthusiasts from any field who wish to contribute and learn.

Our focus is on developing quantum-enhanced environmental intelligence systems capable of modeling and managing complex planetary ecosystems at unprecedented scales. We envision leveraging quantum computing technologies powerful enough to simulate ten septillion years' worth of environmental calculations in just minutes. These systems are foundational to long-term planetary engineering projects that extend far beyond Earth.

The Environmental Interaction Knowledge Graph (EIKG) framework forms the conceptual backbone of our approach, modeling cascading interactions between phenomena such as hurricanes, storm surges, floods, and landslides. We aim to scale EIKG principles to a planetary level. Our research into quantum machine learning techniques focuses on simulating the intricate feedback loops required for terraforming Mars; work that we believe will yield transformative insights into climate repair on Earth as well. Our vision is clear, to enable real-time simulation of Mars terraforming process, atmospheric composition management, molecular simulation & ecosystem development.

We plan to integrate topological quantum processors, photonic quantum sensors, EIKG frameworks, and quantum machine learning architectures. We understand that Quantum-enhanced EIKG systems will necessitate the development of specialized tensor network algorithms, optimized for superconducting qubit systems. As these systems transition into hybrid architectures, they will rely on multilayer perceptron networks to map over 500 interlinked environmental variables across atmospheric, hydrological, and geological domains. Quantum computing could prove essential to this process.

We invite scientists with backgrounds in Quantum Physics (PhD or Masters), Environmental Engineering, Molecular Simulation (using Variational Quantum Eigensolvers), Quantum Data Architecture, Martian regolith-atmosphere interaction modeling, and Computational Fluid Dynamics to collaborate with us on this future-defining work.

Phase 1 milestones include: Deploying automated calibration systems using Boulder Opal's machine learning agents; initiating R&D for a quantum version of EIKG using Rigetti Forest's pyQuil library; R&D on Mars Atmosphere Simulation Chamber: 100m³ vacuum chamber calibrated to 0.636 kPa (Martian surface pressure); engineering variable CO₂/N₂/Ar mixing systems with trace CH₄ injection; conducting real-time research on atmospheric analysis using laser-induced breakdown spectroscopy (LIBS); integrating the Exoplasm climate simulation engine with Martian topography data; and deployment of a quantum sensor array with nitrogen-vacancy center magnetometers and integrated photonic circuits for atmospheric spectroscopy.