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Electronic Colloquium on Computational Complexity

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TR23-026 | 15th March 2023
Shuichi Hirahara, Nobutaka Shimizu

Hardness Self-Amplification: Simplified, Optimized, and Unified

Strong (resp. weak) average-case hardness refers to the properties of a computational problem in which a large (resp. small) fraction of instances are hard to solve. We develop a general framework for proving hardness self-amplification, that is, the equivalence between strong and weak average-case hardness. Using this framework, we prove ... more >>>


TR23-025 | 10th March 2023
Vikraman Arvind, Pushkar Joglekar

Multivariate to Bivariate Reduction for Noncommutative Polynomial Factorization

Based on a theorem of Bergman we show that multivariate noncommutative polynomial factorization is deterministic polynomial-time reducible to the factorization of bivariate noncommutative polynomials. More precisely, we show the following:

(1) In the white-box setting, given an n-variate noncommutative polynomial f in F over a field F (either a ... more >>>


TR23-024 | 9th March 2023
Mark Bun, Nadezhda Voronova

Approximate degree lower bounds for oracle identification problems

Revisions: 1

The approximate degree of a Boolean function is the minimum degree of real polynomial that approximates it pointwise. For any Boolean function, its approximate degree serves as a lower bound on its quantum query complexity, and generically lifts to a quantum communication lower bound for a related function.

We ... more >>>



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