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Texts in computer science

Implementation of Boolean Functions

Sergei Kurgalin, Sergei Borzunov

Published Jan 1, 2021• 2 citations
Publisher
DOI
10.1007/978-3-030-65052-0_7

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Fanout Complexity of Symmetric Boolean Functions in QAC0\mathsf{QAC}^0QAC0
Whether QAC0\mathsf{QAC}^0QAC0 can compute PARITYn\mathtt{PARITY}_nPARITYn​ remains open. Computing PARITYn\mathtt{PARITY}_nPARITYn​ is equivalent to implementing FANOUTn\mathtt{FANOUT}_nFANOUTn​ under QAC0\mathsf{QAC}^0QAC0 reductions. This raises a more general question: for an arbitrary symmetric Boolean function f:{0,1}n→{0,1}f:\{0,1\}^n\to\{0,1\}f:{0,1}n→{0,1}, what fanout size is necessary and sufficient for computing fff in QAC0\mathsf{QAC}^0QAC0? We show that the answer is exactly the transition radius ρ(f)ρ(f)ρ(f): computing fff and implementing FANOUTρ(f)\mathtt{FANOUT}_{ρ(f)}FANOUTρ(f)​ are equivalent under QAC0\mathsf{QAC}^0QAC0 reductions. In particular, if ρ(f)≥nδρ(f)\ge n^δρ(f)≥nδ for some constant δ>0δ>0δ>0, then computing fff is QACf0\mathsf{QAC}^0_{\mathrm{f}}QACf0​-complete. Combined with Paturi's theorem, our characterization implies that if PARITYn∉QAC0\mathtt{PARITY}_n \notin \mathsf{QAC}^0PARITYn​∈/QAC0, then any Boolean function in QAC0\mathsf{QAC}^0QAC0 of approximate degree n1/2+Ω(1)n^{1/2+Ω(1)}n1/2+Ω(1) must be nonsymmetric.