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Revision #1 to TR17-053 | 4th August 2020 22:51

Query-to-Communication Lifting for BPP

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Revision #1
Authors: Mika Göös, Toniann Pitassi, Thomas Watson
Accepted on: 4th August 2020 22:51
Downloads: 577
Keywords: 


Abstract:

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.


Paper:

TR17-053 | 22nd March 2017 16:30

Query-to-Communication Lifting for BPP





TR17-053
Authors: Mika Göös, Toniann Pitassi, Thomas Watson
Publication: 22nd March 2017 18:52
Downloads: 1568
Keywords: 


Abstract:

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.



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