Abstract: Embodiments of the invention are directed to systems, methods, and computer program products for electroencephalogram triggered resource distribution query. In this way, the system may generate a spectral analysis baseline electroencephalogram reading for a user that can be segmented and analyzed based on a specific time span associated with a known stimulus or event, and diagnostic applications generally focus on either event-related potentials or the like. The system may utilize EEG recognition to identify a user baseline and for tiered velocity/frequency tolerance identification of resource distribution. In this way, based on a tiered velocity/frequency tolerances of the user or the resource distribution system, the user may be alerted of an action control network for management of the resource distribution upon an EEG reading during initiation of the resource distribution.

Abstract: Embodiments of the invention are directed to systems, methods, and computer program products for collection of and utilization of electroencephalography (EEG) data for user experience and interaction management. The invention interconnects with a network for real-time user experience modification based on user identification via EEG data. In this way, upon recognition and analysis of EEG data, the invention forms and modify a user specific experience via integration within third party systems. EEG readings are segmented, sorted, and matched to a user baseline EEG reading to identify the user and modify the user experience based on quantifiable points.

Abstract: A system, computer program product, and method for executing real-time processing of resource transfers using distributed ledger technology is provided. In particular, the system utilizes a private or semi-private blockchain to create a distributed ledger which comprises a record of all resource transfers between a number of entities. The real-time processing system addresses a number of computer technology-centric challenges associated with executing resource transfers. In particular, executing resource transfers on a real-time basis allows the nodes of the blockchain to more evenly distribute computing workload over time when compared to more traditional resource transfer systems that use batch processing to execute transfers.

Abstract: A system for verifying resource transfers in real-time typically includes a classical computer apparatus and a quantum optimizer in communication with the classical computer apparatus. The quantum optimizer is configured to analyze resource transfer information related to previous resource transfers to generate a model for verifying resource transfers. Subsequently, when the classical computer apparatus receives a resource transfer request, the classical computer apparatus source transfer request information to the quantum optimizer. The quantum optimizer analyzes the resource transfer request information using the model to determine whether the resource transfer is verified. Based on receiving an indication from the quantum optimizer of whether the resource transfer is verified, the classical computer apparatus processes the resource transfer request.

Abstract: A system for verifying resource transfers in real-time typically includes a classical computer apparatus and a quantum optimizer in communication with the classical computer apparatus. The quantum optimizer is configured to analyze resource transfer information related to previous resource transfers to generate a model for verifying resource transfers. Subsequently, when the classical computer apparatus receives a resource transfer request, the classical computer apparatus source transfer request information to the quantum optimizer. The quantum optimizer analyzes the resource transfer request information using the model to determine whether the resource transfer is verified. Based on receiving an indication from the quantum optimizer of whether the resource transfer is verified, the classical computer apparatus processes the resource transfer request.