Table 1 Many-input vs Many-outcome approach. Top: Many-outcomes approach with binary input; Examples of many-outcome scenarios with two input states. Note that the overlap value differs in each case. Bottom: Many-input approach with categorizing the outcomes. Note: x and – represent detection and no-detection events, respectively

From: Generalized time-bin quantum random number generator with uncharacterized devices