Academic Abstract

Abstract

Chemical propulsion systems, while proven for near-Earth and cislunar operations, are fundamentally constrained by the Tsiolkovsky rocket equation and the energy density limitations of chemical bonds (~10⁷ J/kg). These constraints render chemical propulsion architecturally insufficient for interstellar-scale mobility, where required velocity changes exceed the practical mass ratio boundaries of any reaction-mass-based system.

This paper presents the research thesis of the Quantum Propulsion Research Laboratory: that the convergence of fault-tolerant quantum computing and agentic artificial intelligence creates a material inflection point in propulsion research capability — enabling rigorous computational exploration of propulsion design spaces that were previously intractable using classical simulation methods.

QPRL operates on a dual-track structure: (1) optimization of validated propulsion architectures including nuclear electric propulsion, ion drives, and plasma thrusters through advanced computational methods; and (2) systematic feasibility exploration of propulsion concepts beyond conventional scaling, leveraging quantum simulation of plasma dynamics, AI-driven architecture search across high-dimensional parameter spaces, and computational materials characterization under extreme propulsion-relevant conditions.

All research is conducted under documented governance frameworks including independent technical review, configuration control, export compliance alignment, and advisory council oversight. The laboratory does not claim certainty of discovery; it presents a structured institutional architecture designed to maximize the probability that disciplined, well-governed research will yield meaningful advances in propulsion science.