Researchers have successfully utilized digital twin methods to simulate quantum error correction with high accuracy, leveraging a distance-7 rotated surface code comprising 97 physical qubits. This approach enables the modeling of complex quantum systems, including 49 data qubits and 48 measurement qubits, to mitigate errors and improve the reliability of quantum computations. The team's simulation also accounts for residual ZZ crosstalk, which is critical in understanding the behavior of quantum systems. By employing digital twin methods, researchers can better comprehend the dynamics of quantum error correction and optimize the performance of quantum computers1. This breakthrough matters because it has significant implications for the development of robust and scalable quantum computing systems, allowing practitioners to design and implement more effective quantum error correction strategies.