A Novel Approach to Grover's Quantum Algorithm Simulation: Cloud-Based Parallel Computing Enhancements

• Published in: 2023 4th International Conference on Smart Electronics and Communication (ICOSEC) pp. 1740 - 1745
• Main Authors: Gejea, Adugna Mekonnen, Mayakannan, S., Palacios, Rosana Marianela, Hamad, Abdulsattar Abdullah, Sundaram, Barani, Alghamdi, Wajdi
• Format: Conference Proceeding
• Language: English
• Published: IEEE 20.09.2023
• Subjects: Cloud computing; Grover's algorithm; Heuristic algorithms; High performance computing (HPC); Load management; Memory management; Parallel processing; Parallelization; Quantum algorithm; Quantum computation; Quantum simulation; Search methods
• DOI: 10.1109/ICOSEC58147.2023.10276383

A truly universal quantum computer is still on the small scale at the present. There has been no transition from the laboratory use of quantum computers to more widespread use of the technology. As a result, quantum simulation has emerged as the accepted norm for supporting the validation of quantum algorithms. Many conventional algorithms benefit from grover's quantum search method because it accelerates their usage of search heuristics. For better multi-core load balancing, memory utilization, and simulation efficiency, this research presented a high-performance grover method simulation that combines the benefits of grover's technique with the parallel of cloud computing. This study also suggests and experimentally compares five distinct cloud-based computing architectures that are well-suited to quantum simulation. Through research and testing, this study also verifies the optimization's efficiency. Depending on the size of the current configuration, the experimental results reveal that the simulation can reach 31 bits.