quantum-boltzmann-machine

A multi-criterion diagnostic framework for detecting latent continuation-interest signatures in autonomous agents using density-matrix entanglement entropy.

This repository implements an AI-driven maritime blockchain framework for trustworthy analysis and verification of AIS-based maritime traffic data.

Reproducible theory and experiments on representation alignment, trainability, and exact q-sample preparation in commuting quantum Boltzmann machines.

Uncertainty-aware trust verification framework integrating Raft-based consensus, policy-driven filtering, and QBM forensic validation. The system targets robust detection of adversarial AIS behaviors, explicitly modeling gray-zone decisions and trade-offs between security, efficiency, and reliability in maritime blockchain networks.

Qbm-AI-in-Marin-port-Security-for-Spoofing