Computer’s Error Rate Improvement by using Quantity Computational Algorithm Comparing with Grover’s Algorithm
K. Ajay Kumar, B. Ardly Melba Reena, V. Karthick · 2024
In order to achieve the primary purpose of this research, which is to improve the error rate of quantum computers through the utilization of quantum algorithms. The Components and Procedures: For the purpose of this study, two groups are selected, and a total of twenty samples are taken into consideration. It is generally agreed that the Quantity Computational Algorithm belongs to group 1, while Grover’s Algorithm is regarded to be part of group 2. A total of ten samples are included in both Group 1 and Group 2, which likewise includes ten samples. The value of alpha is 0.05, the value of beta is 0.2, and the quality of the G power is 80%. The results show that the mistake rate of the Quantity computational algorithm is higher than the error rate of Grover’s approach. With a mean error rate detection of ±2 standard deviations, these findings indicated that there was no statistically significant difference between the two groups. The p value of 0.02 indicates that the hypothesis is absolute, and the test was conducted using an independent sample T test. In light of this, it can be concluded that the mistake rate of the Quantity computational algorithm is higher than the error rate of the Grover’s technique