It is suggested that the individual outcomes of a measurement process can be understood within standard quantum mechanics in terms of the measuring apparatus, treated as a quantum computer, executing Grover's search algorithm.
Now-a-days, the use of No-SQL databases is one of the potential options for storing and processing big data lakes. However, searching for large data in No-SQL databases is a complex and time-consuming task. Further, information retrieval from big data management suffers in terms of execution time. To reduce the execution time during the search process, we propose a fast and suitable approach based on the quantum Grover algorithm, which represents one of the best-known approaches for searching in an unstructured database and resolves the unsorted search query in O (√n) time complexity. To assess our proposal, a comparative study with linear and binary search algorithms was conducted to prove the effectiveness of Grover's algorithms. Then, we perform extensive experiment evaluations based on ibm_qasm_simulator for searching one item out of eight using Grover’s search algorithm based on three qubits. The experiments outcomes revealed encouraging results, with an accuracy of 0.948, well in accordance with the theoretical result. Moreover, a discussion of the sensitivity of Grover's algorithm through different iterations was carried out. Then, exceeding the optimal number of iterations round (π/4 √N), induces low accuracy of the marked state. Furthermore, the incorrect selection of this parameter can outline the solution.
Through the application of concepts derived from quantum mechanics, quantum computers assert that they are capable of doing certain tasks with more efficiency than classical computers. For the purpose of accelerating the process of solving unstructured search problems, a well-known quantum technique known as Grover’s algorithm, is utilized. As part of this investigation, the IBM Q 5 Tenerife is compared to the quantum hardware that is already available from IBM, and the feasibility of adopting Grover’s approach is evaluated. An analysis of the algorithm’s component pieces, such as the diffusion operator and the oracle, is included in this presentation. Additionally, simulation and experimental data are also included. The findings that we obtained demonstrate that the accuracy of the 3-qubit Grover’s approach is improved when it is executed. In contrast, the 4-qubit Grover’s technique demonstrates a rise in accuracy that is not as noticeable as the other algorithm. The execution time of the 3-qubit Grover’s approach is successfully reduced from 84.33 second to just 5 second by both of the methods, which is something that should be included in the discussion.