An Analysis of Quantum Computing Spanning IoT and Image Processing

Abstract

The significance of using quantum computing in a variety of applications is illustrated by qubits, coherence time, and gate error rate, respectively, in all of the measurements. In quantum information, the fundamental units are called qubits, which are comparable to bits in classical information. The complicated computation can be simplified by employing qubits, which can be used in a wide variety of contexts. Data can be analyzed without producing any decoherence errors, which is particularly useful for image processing and real-time applications. The concept of “noisy intermediate scale quantum” (NISA) can be addressed and used in real-time data collecting through the Internet of Things as well as in picture processing. The NISA has a primary emphasis on factorization and optimization techniques for the purpose of data analysis. Therefore, this progress will be essential in unlocking the full potential of quantum computing and enabling it to tackle a wider variety of difficult challenges like the Internet of Things (IoT) and Image Processing