{"p":"can-20","op":"mint","tick":"can","amt":"1000","rows":[{"df":"qa","content":[{"q":"In a concurrent Merkle tree, what are the consequences of having a higher canopy depth?","a":"In a concurrent Merkle tree, the higher the canopy depth, the lower the query efficiency and the more complex the tree structure become. This is because the canopy depth determines the maximum number of layers required to reach a  specific leaf node from the root node. The deeper the depth, the more time and computational cost are required for queries. At the same time, as the canopy depth increases, the tree structure becomes more complex, leading to higher memory usage and longer traversal time. Therefore, in a concurrent Merkle tree, the canopy depth is an important performance parameter that needs to be balanced between query efficiency and tree structure complexity."}]}],"pr":"820639f559dae01d1e688588a41c2eecad94894120451719623135217da28152"}