Quantifying entanglement in quantum thermodynamics via separability constraints

This project represents a highly specialized academic tool designed to support a specific research paper in quantum thermodynamics. With 0 stars and 4 forks, it currently lacks any meaningful community adoption or software 'moat.' The defensibility is low (2) because it is essentially a reference implementation of a theoretical paper; while the math behind it requires deep domain expertise, the code itself is a utility for researchers rather than a platform. Frontier labs (OpenAI, Anthropic) have zero interest in this niche subfield of quantum physics, placing the frontier risk at 'low.' The primary 'competitors' are other theoretical frameworks for entanglement measurement, such as the entanglement of formation or distillable entanglement, but this project carves out a niche by focusing on thermodynamic work/heat specifically. The displacement horizon is long (3+ years) not because the code is hard to replicate, but because theoretical shifts in quantum thermodynamics move slowly. The platform risk is low as this doesn't align with the cloud or AI service models of hyperscalers.