System for secure verification of authentication data using quantum computing and a distributed server network

A computer program product for secure verification of authentication data using quantum computing and a distributed server network, the computer program product comprising at least one non-transitory computer readable medium having computer-readable program code portions embodied therein, the computer-readable program code portions comprising executable portions for:

• receiving, from a user, a reference set of authentication data;
• executing a feature extraction process on the reference set of authentication data to generate reference feature data;
• encrypting the reference feature data to generate encrypted reference authentication data;
• storing the encrypted reference authentication data within a distributed register;
• receiving, from a second user, a request to execute a user action and a live set of authentication data, wherein the user action comprises a resource transfer;
• executing the feature extraction process on the live set of authentication data to generate live feature data;
• encrypting the live feature data to generate encrypted live authentication data;
• authenticating the user by comparing, using a quantum authenticator, the encrypted live authentication data with the reference authentication data;
• and
• authorizing, using a quantum machine learning authorization process, the request to perform the user action, wherein authorizing the request to perform the user action comprises:
• classifying, using a quantum support vector machine algorithm, one or more data points within historical data associated with the user, wherein the historical data comprises historical resource transfer information, the historical resource transfer information comprising a resource amount, a time of execution, a location of execution, source information, and destination information;
• identifying one or more user-defined settings associated with the user;
• determining whether the request to perform the user action is consistent with the historical data associated with the user and the one or more user-defined settings associated with the user;
• and
• based on determining whether the request to perform the user action is consistent with the historical data associated with the user and the one or more user-defined settings associated with the user, validating the user action.

A computer-implemented method for secure verification of authentication data using quantum computing and a distributed server network, the computer-implemented method comprising:

• receiving, from a user, a reference set of authentication data;
• executing a feature extraction process on the reference set of authentication data to generate reference feature data;
• encrypting the reference feature data to generate encrypted reference authentication data;
• storing the encrypted reference authentication data within a distributed register;
• receiving, from a second user, a request to execute a user action and a live set of authentication data, wherein the user action comprises a resource transfer;
• executing the feature extraction process on the live set of authentication data to generate live feature data;
• encrypting the live feature data to generate encrypted live authentication data;
• authenticating the user by comparing, using a quantum authenticator, the encrypted live authentication data with the reference authentication data;
• and
• authorizing, using a quantum machine learning authorization process, the request to perform the user action, wherein authorizing the request to perform the user action comprises:
• classifying, using a quantum support vector machine algorithm, one or more data points within historical data associated with the user, wherein the historical data comprises historical resource transfer information, the historical resource transfer information comprising a resource amount, a time of execution, a location of execution, source information, and destination information;
• identifying one or more user-defined settings associated with the user;
• determining whether the request to perform the user action is consistent with the historical data associated with the user and the one or more user-defined settings associated with the user;
• and
• based on determining whether the request to perform the user action is consistent with the historical data associated with the user and the one or more user-defined settings associated with the user, validating the user action.