GUNDOJI VIDYA RANI
Computer Science
December 2022
It has been demonstrated that quantum algorithms offer no benefit over classical algorithms for many jobs, but that they can do a small subset of these tasks far more efficiently. Quantum computing's potential uses are still being investigated. Security and other sectors that could greatly benefit from quantum simulation also rank among the most important applications. From the perspective of quantum information processing, we can get comprehension of entanglement and other non-classical features of quantum physics, and we can also gain perspective on classical algorithmic problems. The security of databases, as platforms for centralized storage and sharing of information system data, has become an increasingly pressing issue in the field of information security due to the proliferation of both computer networks and information systems, prompting widespread interest in data encryption technology. However, there are still certain problems with the present data encryption technology, such as inconsistencies in the encrypted and decrypted code texts and inefficient decoding and encryption. The purpose of this study is to examine the efficacy of quantum computer encryption methods in protecting massive genetic data sets, as well as to evaluate their scalability and practicality. The investigation also seeks to evaluate possible hazards to genetic data privacy associated with quantum computing and to propose opportunities for upgrading genetic data protection measures
694- 707
© Airo Journals 2021
