US Patent 11558403 Quantum computing machine learning for security threats

Embodiments are disclosed for a method for a security model. The method includes generating a Bloch sphere based on a system information and event management (SIEM) of a security domain and a structured threat information expression trusted automated exchange of indicator information. The method also includes generating a quantum state probabilities matrix based on the Bloch sphere. Further, the method includes training a security threat model to perform security threat classifications based on the quantum state probabilities matrix. Additionally, the method includes performing a machine learning classification of the security domain based on the quantum state probabilities matrix.