Distributed quantum computing typically requires an exponential amount of classical information to reconstruct the quantum process, posing a significant scalability challenge. However, a new method has been developed that reduces the classical cost to polynomial by leveraging a weak-coupling approximation, where a qubit is weakly coupled to other qubits1. This approach enables the partitioning of the quantum procedure, allowing for more efficient computation. The method has been demonstrated, showcasing its potential for scalable quantum circuit knitting. By reducing the classical information required, this technique can facilitate the development of more complex quantum systems. The implications of this breakthrough are significant, as it can help overcome current limitations in distributed quantum computing. So what matters to practitioners is that this advancement can potentially accelerate the development of quantum computing applications, ultimately impacting the future of computation and cryptography.