Superpolynomial Lower Bounds Against Low-Depth Algebraic Circuits.

An Algebraic Circuit for a multivariate polynomial P is a computational model for constructing the polynomial P using only additions and multiplications. It is a syntactic model of computation, as opposed to the Boolean Circuit model, and hence lower bounds for this model are widely expected to be e...

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Detalles Bibliográficos
Publicado en:Communications of the ACM Vol. 67; no. 2; pp. 101 - 109
Autores principales: Limaye, Nutan, Srinivasan, Srikanth, Tavenas, Sébastien
Formato: Artículo
Publicado: Association for Computing Machinery Feb2024
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Acceso en línea:Ver este registro en EBSCOhost
Descripción
Sumario:An Algebraic Circuit for a multivariate polynomial P is a computational model for constructing the polynomial P using only additions and multiplications. It is a syntactic model of computation, as opposed to the Boolean Circuit model, and hence lower bounds for this model are widely expected to be easier to prove than lower bounds for Boolean circuits. Despite this, we do not have superpolynomial lower bounds against general algebraic circuits of depth 3 (except over constant-sized finite fields) and depth 4 (over any field other than F), while constant-depth Boolean circuit lower bounds have been known since the early 1980s. In this paper, we prove the first superpolynomial lower bounds against algebraic circuits of all constant depths over all fields of characteristic 0. We also observe that our super-polynomial lower bound for constant-depth circuits implies the first deterministic sub-exponential time algorithm for solving the Polynomial Identity Testing (PIT) problem for all small-depth circuits using the known connection between algebraic hardness and randomness.