Quantum computing (QC) is an emerging field that has the potential to disrupt a broad base of industries, especially in cryptography and discovery. This paper describes the work in less detail and provides a high-level overview of where different features were primarily supported with entities, as well as some additional refinements. Quantum computation relies on core QM principles: superposition qubits, entanglement, and quantum parallelism. This QC architecture has its pros and cons for superposition qubits, trapped ions as well topological variants. In addition, quantum algorithms (QAs), such as Shor’s algorithm for integer factorization and Grover’s algorithm for unstructured search, have polynomial time complexity to solve some classically infeasible hard problems. Over the years, several milestones have been achieved in quantum computing but we still are facing many challenges such as de-coherence error correction and scale. Now, moving forward the next line of research that affects QC is shifting to other fault-tolerant quantum computing experimental platforms or novel QAs where fewer qubits must work along with using machine learning techniques for NISQ. Lastly, the article closes with an extensive discussion of current QC and future possible research directions.