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- Scott Aaronson, Shalev Ben-David, Robin Kothari
- Electronic Colloquium on Computational Complexity
- 2015

We show a power 2.5 separation between bounded-error randomized and quantum query complexity for a total Boolean function, refuting the widely believed conjecture that the best such separation could only be quadratic (from Grover's algorithm). We also present a total function with a power 4 separation between quantum query complexity and approximate… (More)

- Mohamed A. Soliman, Ihab F. Ilyas, Shalev Ben-David
- VLDB J.
- 2010

Large databases with uncertain information are becoming more common in many applications including data integration, location tracking, and Web search. In these applications , ranking records with uncertain attributes introduces new problems that are fundamentally different from conventional ranking. Specifically, uncertainty in records' scores induces a… (More)

- Anurag Anshu, Aleksandrs Belovs, +5 authors Miklos Santha
- 2016 IEEE 57th Annual Symposium on Foundations of…
- 2016

While exponential separations are known between quantum and randomized communication complexity for partial functions (Raz, STOC 1999), the best known separation between these measures for a total function is quadratic, witnessed by the disjointness function. We give the first super-quadratic separation between quantum and randomized communication… (More)

- Shalev Ben-David, Shai Ben-David
- ALT
- 2011

- Shalev Ben-David
- Electronic Colloquium on Computational Complexity
- 2015

We construct a total Boolean function f satisfying R(f) = ˜ Ω(Q(f) 5/2), refuting the long-standing conjecture that R(f) = O(Q(f) 2) for all total Boolean functions. Assuming a conjecture of Aaronson and Ambainis about optimal quantum speedups for partial functions, we improve this to R(f) = ˜ Ω(Q(f) 3). Our construction is motivated by the… (More)

- Shalev Ben-David, Robin Kothari
- ICALP
- 2016

We study the composition question for bounded-error randomized query complexity: Is R(f • g) = Ω(R(f)R(g)) for all Boolean functions f and g? We show that inserting a simple Boolean function h, whose query complexity is only Θ(log R(g)), in between f and g allows us to prove R(f • h • g) = Ω(R(f)R(h)R(g)). We prove this using a new lower bound measure for… (More)

- Shalev Ben-David
- Electronic Colloquium on Computational Complexity
- 2016

We provide new query complexity separations against sensitivity for total Boolean functions: a power 3 separation between deterministic (and even randomized or quantum) query complexity and sensitivity, and a power 2.1 separation between certificate complexity and sensitivity. We get these separations by using a new connection between sensitivity and a… (More)

- SHALEV BEN-DAVID
- 2012

Two separate results related to decision-tree complexity are presented. The first uses a topological approach to generalize some theorems about the evasiveness of monotone boolean functions to other classes of functions. The second bounds the gap between the deterministic decision-tree complexity of functions on the permutation group S n and their… (More)

- M A Aizerman, E M Braverman, +15 authors D Sorensen
- 2005

- Shalev Ben-David, James F. Geelen
- J. Comb. Theory, Ser. B
- 2016