1. A system for identifying information about a particular entity, comprising: a collector module configured to provide a request to one or more data sources using one or more search terms to acquire electronic documents having unstructured text, wherein the electronic documents are selected based on the one or more search terms from a plurality of terms related to the particular entity; a tokenizer module configured to tokenize the acquired documents to form a data matrix; a data processing module configured to calculate a plurality of eigenvectors, using the data matrix and the transpose of the data matrix; a quantum clustering module configured to: acquire a variance for determining the amount of intra-clustering between the documents, and cluster the acquired documents using some of the eigenvectors and the variance.
5. The system of claim 1 , wherein the data processing module is configured to: construct a guess eigenvector; multiply the guess eigenvector by the transpose of the data matrix to obtain a first vector; multiply the first vector with the data matrix to obtain a second vector; and provide the second vector if it is an eigenvector.