A Sparse Merkle Tree is a data structure used in cryptocurrencies to efficiently verify the contents of a large dataset. It is a type of Merkle tree where only the branches containing non-empty values are stored, eliminating the need to store empty or zero values. This makes the tree more compact and reduces storage requirements.
In a Sparse Merkle Tree, each leaf node represents a specific piece of data, such as a transaction or account balance. These leaf nodes are then hashed together in pairs to create parent nodes, and this process continues until a single root hash is generated. This root hash serves as a unique identifier for the entire dataset.
By using a Sparse Merkle Tree, cryptocurrency platforms can quickly verify the authenticity and integrity of the data without needing to store every single piece of information. This makes it a valuable tool for improving the efficiency and scalability of blockchain networks.
