4,705 research outputs found
On Computational Power of Quantum Read-Once Branching Programs
In this paper we review our current results concerning the computational
power of quantum read-once branching programs. First of all, based on the
circuit presentation of quantum branching programs and our variant of quantum
fingerprinting technique, we show that any Boolean function with linear
polynomial presentation can be computed by a quantum read-once branching
program using a relatively small (usually logarithmic in the size of input)
number of qubits. Then we show that the described class of Boolean functions is
closed under the polynomial projections.Comment: In Proceedings HPC 2010, arXiv:1103.226
Algorithms for Quantum Branching Programs Based on Fingerprinting
In the paper we develop a method for constructing quantum algorithms for
computing Boolean functions by quantum ordered read-once branching programs
(quantum OBDDs). Our method is based on fingerprinting technique and
representation of Boolean functions by their characteristic polynomials. We use
circuit notation for branching programs for desired algorithms presentation.
For several known functions our approach provides optimal QOBDDs. Namely we
consider such functions as Equality, Palindrome, and Permutation Matrix Test.
We also propose a generalization of our method and apply it to the Boolean
variant of the Hidden Subgroup Problem
Quantum Communications Based on Quantum Hashing
In this paper we consider an application of the recently proposed quantum
hashing technique for computing Boolean functions in the quantum communication
model. The combination of binary functions on non-binary quantum hash function
is done via polynomial presentation, which we have called a characteristic of a
Boolean function. Based on the characteristic polynomial presentation of
Boolean functions and quantum hashing technique we present a method for
computing Boolean functions in the quantum one-way communication model, where
one of the parties performs his computations and sends a message to the other
party, who must output the result after his part of computations. Some of the
results are also true in a more restricted Simultaneous Message Passing model
with no shared resources, in which communicating parties can interact only via
the referee. We give several examples of Boolean functions whose polynomial
presentations have specific properties allowing for construction of quantum
communication protocols that are provably exponentially better than classical
ones in the simultaneous message passing setting
Computational linear algebra over finite fields
We present here algorithms for efficient computation of linear algebra
problems over finite fields
Finite Boolean Algebras for Solid Geometry using Julia's Sparse Arrays
The goal of this paper is to introduce a new method in computer-aided
geometry of solid modeling. We put forth a novel algebraic technique to
evaluate any variadic expression between polyhedral d-solids (d = 2, 3) with
regularized operators of union, intersection, and difference, i.e., any CSG
tree. The result is obtained in three steps: first, by computing an independent
set of generators for the d-space partition induced by the input; then, by
reducing the solid expression to an equivalent logical formula between Boolean
terms made by zeros and ones; and, finally, by evaluating this expression using
bitwise operators. This method is implemented in Julia using sparse arrays. The
computational evaluation of every possible solid expression, usually denoted as
CSG (Constructive Solid Geometry), is reduced to an equivalent logical
expression of a finite set algebra over the cells of a space partition, and
solved by native bitwise operators.Comment: revised version submitted to Computer-Aided Geometric Desig
New Structured Matrix Methods for Real and Complex Polynomial Root-finding
We combine the known methods for univariate polynomial root-finding and for
computations in the Frobenius matrix algebra with our novel techniques to
advance numerical solution of a univariate polynomial equation, and in
particular numerical approximation of the real roots of a polynomial. Our
analysis and experiments show efficiency of the resulting algorithms.Comment: 18 page
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