Abstract: The invention includes an activity investigation and response tool which comprises both a quantum computing element and a machine learning or artificial intelligence model in order to analyze historical data and build a reference point for examining real time data streams. The activity investigation and response tool may seamlessly interact with entity systems in order to transmit findings for display via classical computing systems, and potentially for human review. Qubits from historical data are entangled with real time input streams in an iterative fashion in order to locate best-correlation output and decisioning.

Abstract: A system for optimizing memory utilization receives a query statement that indicated to retrieve data objects. For a first data object, the system determines whether the first data object is stored in a high-grade data repository or a low-grade data repository. The system determines whether a recent usage frequency of the first data object exceeds a usage frequency threshold. If the system determines that the first data object is stored in the high-grade data repository and that the recent usage frequency is less than the usage frequency threshold, the system moves the first data object to the low-grade data repository. If the system determines that the first data object is stored in the low-grade data repository and that the recent usage frequency is more than the usage frequency threshold, the system moves the first data object to the high-grade data repository. The system outputs the data objects.

Abstract: The invention includes an activity investigation and response tool which comprises both a quantum computing element and a machine learning or artificial intelligence model in order to analyze historical data and build a reference point for examining real time data streams. The activity investigation and response tool may seamlessly interact with entity systems in order to transmit findings for display via classical computing systems, and potentially for human review. Qubits from historical data are entangled with real time input streams in an iterative fashion in order to locate best-correlation output and decisioning.