While the SSA provides an exact solution to the stochastic master equation, its computational cost can be significant, particularly for large systems. This is because the algorithm requires simulating every individual reaction event, making it computationally expensive for systems with a high degree of complexity or a large number of species. To address this limitation, Gillespie later proposed the 𝜏-leaping algorithm, which significantly improves simulation speed at the cost of introducing negligible errors.