Query-to-Communication Lifting for BPP

Autor: Toniann Pitassi, Thomas Watson, Mika Göös
Rok vydání: 2017
Předmět:
Zdroj: FOCS
DOI: 10.48550/arxiv.1703.07666
Popis: For any $n$-bit boolean function $f$, we show that the randomized communication complexity of the composed function $f\circ g^n$, where $g$ is an index gadget, is characterized by the randomized decision tree complexity of $f$. In particular, this means that many query complexity separations involving randomized models (e.g., classical vs. quantum) automatically imply analogous separations in communication complexity.
Comment: 21 pages
Databáze: OpenAIRE