This paper presents a numerical simulation approach for solving nonlinear equations using a quantum Bisection Optimization technique. We propose an enhanced version of Bisection technique based on quantum calculus optimization. The results are analyzed for different values of quantum parameter, q, & rate of convergence is determined for every q ∈ (0, 1). Additionally, it is demonstrated that the modified method is always convergent and for each interval there exists q ∈ (0, 1) for which the exact solution to the problem and first approximation of the root coincides. This study highlights the potential of the modified Bisection optimization method as a valuable tool for simulating and solving complex nonlinear problems encountered in science and engineering applications.