The most efficient use of memory in terms of input size n is indicated by a space complexity of O(1). This means constant space complexity, where the amount of memory used by the algorithm does not change with the size of the input. These could be simple operations like swapping two variables, performing arithmetic operations, or accessing a fixed-size data structure. Algorithms with lower space complexity tend to use memory more efficiently and can handle larger inputs without causing memory issues.