Advance Quantum Computing
Kuldeep Singh Kaswan, Jagjit Singh Dhatterwal, Anupam Baliyan, Shalli Rani · 2023
This chapter demonstrates that mathematical modeling is more effective than classical cognition. It focuses on real quantum algorithms, which exceed conventional algorithms in terms of performance. The chapter discusses quantum computing using the conventional circuit model. Circuit complexity, which includes the qubit count and the number of fundamental gates utilized, is a key metric of quantum algorithm effectiveness under a typical circuit model of quantum computing. Many optimization algorithms use quantum analogs of conventional processing. The chapter introduces a few elementary quantum algorithms. The first three problems are examples of what are called “black box” or “oracle” challenges, and the quantum solution excels in terms of query sophistication. Quantum algorithms may be explained by computing on all possible inputs at once, utilizing quantum parallelism and then managing the resulting superposition effectively. The scientific community at large became fascinated by quantum computing after learning about Shor's findings.