# Quantum Information Flow in Microtubule Tryptophan Networks

## TL;DR

This paper explores how tryptophan networks in microtubules might route quantum information, using models that track energy and correlation dynamics.

## Contribution

The study introduces a Lindblad master equation approach to model quantum information flow in microtubule tryptophan networks with explicit geometries and dipole orientations.

## Key findings

- Initial preparation type strongly influences the direction and persistence of information flow in chromophore networks.
- Superradiant components rapidly export correlations, while subradiant components retain them and slow leakage.
- Structural disorder suppresses long-range transport and reduces correlation transfer in microtubule networks.

## Abstract

Networks of aromatic amino acid residues within microtubules, particularly those formed by tryptophan, may serve as pathways for optical information flow. Ultraviolet excitation dynamics in these networks are typically modeled with effective non-Hermitian Hamiltonians. By extending this approach to a Lindblad master equation that incorporates explicit site geometries and dipole orientations, we track how correlations are generated, routed, and dissipated, while capturing both energy dissipation and information propagation among coupled chromophores. We compare localized injections, fully delocalized preparations, and eigenmode-based initial states. To quantify the emerging quantum-informational structure, we evaluate the L1 norm of coherence, the correlated coherence, and the logarithmic negativity within and between selected chromophore sub-networks. The results reveal a strong dependence of both the direction and persistence of information flow on the type of initial preparation. Superradiant components drive the rapid export of correlations to the environment, whereas subradiant components retain them and slow their leakage. Embedding single tubulin units into larger dimers and spirals reshapes pairwise correlation maps and enables site-selective routing. Scaling to larger ordered lattices strengthens both export and retention channels, whereas static energetic and structural disorder suppresses long-range transport and reduces overall correlation transfer. These findings provide a Lindbladian picture of information flow in cytoskeletal chromophore networks and identify structural and dynamical conditions that transiently preserve nonclassical correlations in microtubules.