Ground-state preparation is crucial in quantum simulation as it directly impacts the efficiency of subsequent quantum algorithms. A recent study proposes a novel three-stage framework to address the matrix-product-state encoding barrier, leveraging the density-matrix renormalization group (DMRG) to guide probabilistic imaginary-time evolution1. This approach enables the loading of a matrix product state onto an N-qubit quantum system, enhancing the overlap with the true ground state. By harnessing DMRG-guided evolution, the framework aims to reduce the computational cost associated with quantum algorithms. The study's findings have significant implications for quantum simulation tasks, as improved ground-state preparation can substantially decrease the overall cost of quantum computations. This breakthrough matters to quantum practitioners because it has the potential to enhance the efficiency and accuracy of quantum simulations, paving the way for more complex and reliable quantum computations.