Invited Speaker

Dr. Prem Kumar Singh

Dr. Prem Kumar Singh

Department of Computer Science and Engineering, Gandhi Institute of Technology and Management, India
Speech Title: Fourth Dimensional Quantum Data Representation Using Turiyam Set
More details will be updated...

Abstract: Recently “Turiyam set” is introduced at Int'l Conference on Operations Research and Applications (ORA 2021) which held at Guilin, China. In this talk the author focused on dealing the uncertainty in data in data and its representation beyond the Acceptation, rejection and indeterminant parts. One of the examples is USA-China conflict is beyond the win, draw or loss of any event. It is totally based on consicious of USa (or China) to get profit (or loss) each other and vice versa. This fourth dimensional awareness is Turiyam. In similar way Indian-Pakistan match is beyond the Win, Draw or Loss of a match. It is totally focused on removal of Pakistan or India from the given series. Hence India (or Pakistan) may lose some match from lower team also just to remove India (or Pakistan). This type of matches results already known as fourth dimensions of human cognition. It is based on non-dualism concept of Sanskrit or Taoism Yin-Yang theory of China. Another suitable example is COVID data set representation contains fourth dimensions uncertainty for the analysis. The people who got recovered can be considered as true regions (t), people who died due to COVID19 can be considered as false regions (f), people who are still active can be considered as indeterminacy (i), people who got vaccinated can be considered as Turiya or Liberated state (l). The refusal degree means people who still did not come under these regions can be represented as 1-(t+i+f+l). However the exploration of Turiyam dimensions is not easy. It is much complex than Space Time Tradeoffs as we deal some time unknown data. Recently, Turiyam modules, Turiyam matrix and its vector is introduced for dealing the quantum data. This talk will focus on providing a brief about Turiyam dimension and its data representation for further discussions and development.