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Electronic Colloquium on Computational Complexity

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TR18-206 | 3rd December 2018
Arkadev Chattopadhyay, Shachar Lovett, Marc Vinyals

Equality Alone Does Not Simulate Randomness

Revisions: 1

The canonical problem that gives an exponential separation between deterministic and randomized communication complexity in the classical two-party communication model is `Equality'. In this work, we show that even allowing access to an `Equality' oracle, deterministic protocols remain exponentially weaker than randomized ones. More precisely, we exhibit a total function ... more >>>


TR18-205 | 3rd December 2018
Siddhesh Chaubal, Anna Gal

New Constructions with Quadratic Separation between Sensitivity and Block Sensitivity

Nisan and Szegedy conjectured that block sensitivity is at most polynomial in sensitivity for any Boolean function. There is a huge gap between the best known upper bound on block sensitivity in terms of sensitivity - which is exponential, and the best known separating examples - which give only a ... more >>>


TR18-204 | 30th November 2018
Makrand Sinha, Ronald de Wolf

Exponential Separation between Quantum Communication and Logarithm of Approximate Rank

Comments: 1

Chattopadhyay, Mande and Sherif (ECCC 2018) recently exhibited a total
Boolean function, the sink function, that has polynomial approximate rank and
polynomial randomized communication complexity. This gives an exponential
separation between randomized communication complexity and logarithm of the
approximate rank, refuting the log-approximate-rank conjecture. We show that ... more >>>



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