Modern financial markets are characterized by a rapid flow of information, a vast number of
participants having diversified investment horizons, and multiple feedback mechanisms …

Typically, complex systems are natural or social systems which consist of a large number of
nonlinearly interacting elements. These systems are open, they interchange information or …

What are the dominant stocks which drive the correlations present among stocks traded in a
stock market? Can a correlation analysis provide an answer to this question? In the past …

Efficient methods for loading given classical data into quantum circuits are essential for
various quantum algorithms. In this paper, we propose an algorithm called Approximate …

A financial market is an example of an adaptive complex network consisting of many
interacting units. This network reflects market's behavior. In this paper, we use Random …

A challenging problem in the study of complex systems is that of resolving, without prior
information, the emergent, mesoscopic organization determined by groups of units whose …

The concept of biological adaptation was closely connected to some mathematical,
engineering and physical ideas from the very beginning. Cannon in his “The wisdom of the …

We study long-range magnitude cross-correlations in collective modes of real-world data
from finance, physiology, and genomics using time-lag random matrix theory. We find long …

The structure and dynamics of complex network systems are of current research interest. We
illustrate the dependency between the network topology and its function, considering the …

To investigate the universality of the structure of interactions in different markets, we analyze
the cross-correlation matrix C of stock price fluctuations in the National Stock Exchange …