0000000000314039

AUTHOR

Krisjanis Prusis

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Zero-Error Affine, Unitary, and Probabilistic OBDDs

2017

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 by considering the automata versions of these models.

FOS: Computer and information sciencesComputer Science - Computational ComplexityQuantum PhysicsFormal Languages and Automata Theory (cs.FL)Computer Science::Logic in Computer ScienceFOS: Physical sciencesComputer Science - Formal Languages and Automata TheoryComputational Complexity (cs.CC)Computer Science::Computational ComplexityComputer Science::Artificial IntelligenceQuantum Physics (quant-ph)Computer Science::Databases
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