Pros and Cons of Quantum Computing

This chapter examines the advantages and disadvantages of a highly automated system. It investigates several computational restraints that arise while developing a quantum algorithm using a stripped‐down quantum computer. The chapter argues that the quantum computing (QC) paradigm absorbs the conventional computing architecture. The mathematical features of intelligent technology architecture are superior to those of classical computing. Complexity classifications are studied to evaluate the challenges of a set of concerns rather than the efficiency of a computer system. Quantum concurrency, the maintenance and management of an indefinitely large number of countries in superposition and entanglement, is only proven approach for simplifying QC. Quantum computers have the potential to improve security in the realm of cryptography. The QRAM hybrid architecture is used to specify that the quantum processor is dedicated to certain algorithms, or computational kernels. The most important foundations for creating quantum algorithms are the quantum Fourier transform, quantum random walks, and amplitude amplification techniques.