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Electronic Colloquium on Computational Complexity
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REPORTS > AUTHORS > FARID ABLAYEV:
All reports by Author Farid Ablayev:

TR08-085 | 19th June 2008
Farid Ablayev, Airat Khasianov, Alexander Vasiliev

On Complexity of Quantum Branching Programs Computing Equality-like Boolean Functions

Revisions: 1
We consider Generalized Equality, the Hidden Subgroup, and related problems in the context of quantum Ordered Binary Decision Diagrams. For the decision versions of considered problems we show polynomial upper bounds in terms of quantum OBDD width. We apply a new modification of the fingerprinting technique and present the algorithms ... more >>>

TR08-059 | 20th May 2008
Farid Ablayev, Alexander Vasiliev

On the Computation of Boolean Functions by Quantum Branching Programs via Fingerprinting

We develop quantum fingerprinting technique for constructing quantum branching programs (QBPs), which are considered as circuits with an ability to use classical bits as control variables. We demonstrate our approach constructing optimal quantum ordered binary decision diagram (QOBDD) for $MOD_m$ and $DMULT_n$ Boolean functions. The construction of our technique also ... more >>>

TR02-013 | 30th January 2002
Chris Pollett, Farid Ablayev, Cristopher Moore, Chris Pollett

Quantum and Stochastic Programs of Bounded Width

Revisions: 1
We prove upper and lower bounds on the power of quantum and stochastic branching programs of bounded width. We show any NC^1 language can be accepted exactly by a width-2 quantum branching program of polynomial length, in contrast to the classical case where width 5 is necessary unless \NC^1=\ACC. This ... more >>>

TR99-044 | 30th September 1999
Farid Ablayev

On Complexity of Regular $(1,+k)$-Branching Programs

A regular $(1,+k)$-branching program ($(1,+k)$-ReBP) is an ordinary branching program with the following restrictions: (i) along every consistent path at most $k$ variables are tested more than once, (ii) for each node $v$ on all paths from the source to $v$ the same set $X(v)\subseteq X$ of variables is tested, ... more >>>

TR98-050 | 6th July 1998
Farid Ablayev, Svetlana Ablayeva

A Discrete Approximation and Communication Complexity Approach to the Superposition Problem

The superposition (or composition) problem is a problem of representation of a function $f$ by a superposition of "simpler" (in a different meanings) set $\Omega$ of functions. In terms of circuits theory this means a possibility of computing $f$ by a finite circuit with 1 fan-out gates $\Omega$ of functions. ... more >>>

TR98-011 | 29th January 1998
Farid Ablayev, Marek Karpinski

A Lower Bound for Integer Multiplication on Randomized Read-Once Branching Programs

We prove an exponential lower bound ($2^{\Omega(n/\log n)}$) on the size of any randomized ordered read-once branching program computing integer multiplication. Our proof depends on proving a new lower bound on Yao's randomized one-way communication complexity of certain boolean functions. It generalizes to some other common models of randomized branching ... more >>>

TR98-004 | 13th January 1998
Farid Ablayev, Marek Karpinski

On the Power of Randomized Ordered Branching Programs

We introduce a model of a {\em randomized branching program} in a natural way similar to the definition of a randomized circuit. We exhibit an explicit boolean function $f_{n}:\{0,1\}^{n}\to\{0,1\}$ for which we prove that: 1) $f_{n}$ can be computed by a polynomial size randomized ordered read-once branching program with a ... more >>>

TR97-021 | 16th May 1997
Farid Ablayev

Randomization and nondeterminsm are incomparable for ordered read-once branching programs

In the manuscript F. Ablayev and M. Karpinski, On the power of randomized branching programs (generalization of ICALP'96 paper results for the case of pure boolean function, available at http://www.ksu.ru/~ablayev) we exhibited a simple boolean functions $f_n$ in $n$ variables such that: 1) $f_{n}$ can be computed by polynomial size ... more >>>

TR95-054 | 24th November 1995
Farid Ablayev, Marek Karpinski

On the Power of Randomized Branching Programs

We define the notion of a randomized branching program in the natural way similar to the definition of a randomized circuit. We exhibit an explicit function $f_{n}$ for which we prove that: 1) $f_{n}$ can be computed by polynomial size randomized read-once ordered branching program with a small one-sided error; ... more >>>



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