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.
6. The system of claim 1 , wherein the data processing module is configured to: construct a guess eigenvector to a distributed matrix, wherein the distributed matrix is related to the data matrix and the transpose of the data matrix; partition the guess eigenvector into one or more sub-vectors; distribute the one or more sub-vectors to one or more server slaves that contain at least one tokenized electronic document; acquire from the one or more server slaves, a second vector that corresponds to the multiplication of the sub-vector that was distributed to the server slave with the tokenized electronic document contained on that server slave; assemble the acquired vectors into a single reconstituted vector; determine whether the reconstituted vector is an eigenvector of the distributed matrix; and provide the reconstituted vector if it is an eigenvector of the distributed matrix.