Portfolio optimization has always been a challenging proposition in finance and
management. Portfolio optimization facilitates in selection of portfolios in a volatile market …

In the decades, the general field of quantum computing has experienced remarkable
progress since its inception. A plethora of researchers not only proposed quantum …

Today, much of the information is storing in images. To transfer information in the form of
images, image compression is required. Compressing images reduces the size of images …

This paper discusses and compares several computed tomography (CT) algorithms capable
of dealing with incomplete data. This type of problem has been proposed for a symmetrical …

In the distributed database systems, the relations needed by a query can be kept in several
locations. This process significantly increases potential corresponding Query Execution …

A distributed database model can be effectively optimized through using query optimization.
In such a model, the optimizer attempts to identify the most efficient join order, which …

Query optimization is considered as the most significant part in a model of distributed
database. The optimizer tries to find an optimal join order, which reduces the query …

In the field of data processing and IoT communication it is possible to develop more robust
solutions by combining quantum algorithms with metaheuristics. Said solutions can be …

Multilingual retrieval is the information that are retrieved in multiple languages, for the
response to the query given by the user. In a cross lingual search, the user query is given to …

We propose a new hybrid quantum algorithm based on the classical Ant Colony
Optimization algorithm to produce approximate solutions for NP-hard problems, in particular …