Improving Quantum Computer's Error Rate Using Quantity Computational Algorithm Comparing with Shor's Algorithm

This study aims to improve quantum computers' mistake rate by using quantum algorithms. Procedures and Materials: In all, twenty samples were collected from the two categories. Algorithms such as Shor's and the Novel Quantity Computational Algorithm make up Group 1. Both Group 1 and Group 2 consist of 10 samples each; Our other statistics are as follows: 0.05 for alpha, 0.2 for beta, and 80% for G-power. The error rate of the Novel Quantity computational methodology is 58% greater than that of Shor's method. The null hypothesis was accepted since the independent sample T-test produced a p-value of 0.032 (p<0.05). There was a noticeable disparity in the outcomes between the two groups, as seen by their separate mean error rates of ±2SD. Novel Quantity, a computer algorithm, is more prone to errors than Shor's method.