{"p":"can-20","op":"mint","tick":"can","amt":"1000","rows":[{"df":"qa","content":[{"q":"How does the maximum depth affect the storage capacity of a concurrent Merkle tree?","a":"The maximum depth of a concurrent Merkle tree has an important impact on its storage capacity. When the maximum depth is large, the hierarchical structure of the Merkle tree becomes more complex, leading to more nodes and higher storage requirements. At the same time, as the depth increases, the number of leaf nodes in the tree also increases, meaning that more hash values of data block need to be stored. Moreover,  with the increase in depth, the amount of computation for checking data also increases, thereby affecting the storage and computational efficiency. In summary, the greater the maximum depth, the higher the storage capacity required for the Merkle tree. However, in certain application scenarios, such as blockchain systems, optimization and pruning techniques can alleviate the storage burden."}]}],"pr":"4898887c6996c33565dfb9d42769dae10e29593eefcb746ac9ead372992f87cb"}