419 citations
Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.
- Massachusetts Institute of TechnologyUS181 papers
- Vilnius UniversityLT180 papers
- Boğaziçi UniversityTR178 papers
- Deutsches Elektronen-Synchrotron DESYDE178 papers
- University of Nebraska–LincolnUS178 papers
- Bulgarian Academy of SciencesBG176 papers
- Sofia University "St. Kliment Ohridski"BG175 papers
- University of BristolGB175 papers
- University of HelsinkiFI175 papers
- University of AntwerpBE174 papers
- University of BelgradeRS174 papers
- University of Notre DameUS174 papers
5 papers · 2 filters
Fast Matrix Multiplication: Limitations of the Laser Method
Andris Ambainis, Yuval Filmus, François Le Gall
Until a few years ago, the fastest known matrix multiplication algorithm, due to Coppersmith and Winograd (1990), ran in time . Recently, a surge of activity by Stot…
Tighter Relations Between Sensitivity and Other Complexity Measures
Andris Ambainis, Mohammad Bavarian, Yihan Gao +3
Sensitivity conjecture is a longstanding and fundamental open problem in the area of complexity measures of Boolean functions and decision tree complexity. The conjecture postulate…
Size of Sets with Small Sensitivity: a Generalization of Simon's Lemma
Andris Ambainis, Jevgēnijs Vihrovs
We study the structure of sets with small sensitivity. The well-known Simon's lemma says that any of sensitivity must be of size a…
Exact quantum algorithms have advantage for almost all Boolean functions
Andris Ambainis, Jozef Gruska, Shenggen Zheng
It has been proved that almost all -bit Boolean functions have exact classical query complexity . However, the situation seemed to be very different when we deal with exact q…
A Tight Lower Bound on Certificate Complexity in Terms of Block Sensitivity and Sensitivity
Andris Ambainis, Krišjānis Prūsis
Sensitivity, certificate complexity and block sensitivity are widely used Boolean function complexity measures. A longstanding open problem, proposed by Nisan and Szegedy, is wheth…