Abstract
We introduce the affine OBDD model and show that zero-error affine OBDDs can be exponentially narrower than bounded-error unitary and probabilistic OBDDs on certain problems. Moreover, we show that Las-Vegas unitary and probabilistic OBDDs can be quadratically narrower than deterministic OBDDs. We also obtain the same results for the automata counterparts of these models.
| Original language | English |
|---|---|
| Pages (from-to) | 827-847 |
| Number of pages | 21 |
| Journal | International Journal of Foundations of Computer Science |
| Volume | 32 |
| Issue number | 7 |
| DOIs | |
| Publication status | Published - 1 Nov 2021 |
Keywords
- Affine automata
- Las-Vegas algorithms
- OBDDs
- Quantum and probabilistic computation
- State complexity
- Zero-error
OECD Field of Science
- 1.2 Computer and Information Sciences
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