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The continued growth of the Internet has resulted in a significant increase in the number of electronic text documents. Grouping these documents into meaningful collections has become a very important issue. Previously, documents were grouped based on statistical characteristics, and the classification relied more on syntactic notions than semantic concepts. This created the problem of not classifying documents that are semantically related. To have this problem solved, semantic similarity techniques are applied. In this article, a unique approach for classifying text-based documents semantically is introduced. The work is performed by extracting document synopses from Wikipedia and IMDB databases grouped together, and then NLTK is employed to generate them. Following that, a vector space is modeled using TFIDF and converted to a TFIDF matrix in numerical form. Finally, the Mini Batch K-means method is used for clustering. The results are compared with previous work using several datasets of different sizes, and various evaluation metrics have been applied to determine the best approach among them. [ABSTRACT FROM AUTHOR]

Information is divided into two types: classical and quantum. Quantum computing, quantum cryptography, and quantum teleportation are just a few of the miracles they can do when working together. Some of the uses range from assisting in the prevention of spies reading private messages to assisting in the prevention of spies reading private communications. Quantum purification and quantum error correction are examples of techniques that will make their implementation easier. Although some of these concepts are still beyond present technological capabilities, quantum cryptography has been established. The possibilities for small-scale quantum computer device prototypes by the end of the millennium are promising. This paper is focusing on addressing the depended approaches which deal with implementation cryptography based on quantumcomputing. Remembering that cryptography is a method of encryption that uses the naturally occurring propertiesof quantum mechanics to secure and transmit data in a way that cannot be hacked. Cryptography is the process ofencrypting and protecting data so that only the person who has the right secret key can decrypt it. For decades now, quantum computing has been hailed as one of the next big revolutions. Quantum computing is not just fasterthan traditional computing methods, but a fundamentally different approach to solve seemingly intractable problems. The mathematical operations that most traditional cryptographic algorithms rely on could be cracked with a sufficiently strong quantum computer. This paper aims to explain how quantum computing affects currentcryptography and expose readers to fundamental post-quantum methods. Quantum computing's influence on IT professionals is becoming increasingly important. As a result, we provide a straightforward introduction to post-quantum cryptography, including quantum-resistant algorithms and quantum key distribution. [ABSTRACT FROM AUTHOR]