Quantum computing machine learning for security threats

Abstract

Embodiments are disclosed for a method for a security model. The method includes identifying a security threat attack to a security domain by generating a Bloch sphere based on a system information and event management (STEM) of the security domain and a security threat attack framework. The attack is non-linear. Identifying the attack also includes generating a quantum state probabilities matrix (QSPM) based on the Bloch sphere. Further, identifying the attack includes training a security threat model to perform classifications based on the QSPM. Additionally, identifying the attack includes performing a classification of the security domain that identifies a first attack method using the security threat model. Identifying the attack further includes performing a second classification of the security domain that identifies a second attack method. The second attack method follows a non-linear path from the first attack method along the security threat attack framework.