Metcore-suite

Author :
Guillaume Desvaux · HOPE 'N MIND SASU
Year :
2026

Abstract

Scientific computing suite built on the Markov Embedding Theorem (MET): one engine, four domains (quantum, Kuramoto, rheology, neural). BoltZ-Kernel reconstructs the memory kernel from J(omega), solves the full NM master equation, compares in parallel with Lindblad, and produces the Lindblad gap G_int. 17 MCP tools for LLM agents, desktop app, Python library.

Keywords

  • Mathematical complexity
  • Falsifiability
  • Quantum Physics & Open Dynamics
  • Non-Markovianity
  • Complex Systems & Metrology
  • Computational methods
  • Neural networks & LLMs
  • Evaluation methodology
Read the interactive articleView on Zenodo (PDF)Source code (GitHub)