Page 52 - GHES-2-1

Global Health Econ Sustain

REVIEW ARTICLE
From digital to quantum epidemiology: The

Quantum Data Lake concept for big data related
to viral infectious diseases

1
2
Olga Kolesnichenko *, Igor Nakonechniy , and Yuriy Kolesnichenko 3
1 Project Quantum Balchug IT (QBIT), Moscow, Russia
2 Department of Ecology and Environmental Technologies, Shipbuilding Educational and Scientific
Institute, Admiral Makarov National University of Shipbuilding, Mykolaiv, Ukraine
3 Data Science Project Ultrasound Technologies, AI and Neural Networks (Uzgraph), Moscow, Russia

Abstract
The development of quantum epidemiology represents the next anticipated
phase in epidemiology transformation, driven by the emergence of new quantum
technologies. Epidemiology is currently transitioning into the digital era and
undergoing a paradigm shift from a data-driven to a value-driven strategy.
Epidemiology data are characterized by uncertainty, multidimensionality, and
disconnection, thereby correlating with the preferential quantum approach
Academic editor: for data exposition, value creation, and modeling. Examples of such complex
Mihajlo Jakovljevic M.D. Ph.D. MAE
epidemiology data include the data on DNA viruses with associated symptoms
*Corresponding author: and diseases. The Quantum Data Lake concept is proposed and consists of
Olga Kolesnichenko
(olga.kolesnichenko.wheelson@ several layers and quantum tools, including Robson semantic triples, Quantum
gmail.com) Universal Exchange Language, Hyperbolic Dirac Net, “quantum ribosome”
Citation: Kolesnichenko, O., structure, quantum random access memory, teleportation, Quantum Query
Nakonechniy, I., & Kolesnichenko, Y. Language, non-Hermitian gates, and tensor networks (e.g., matrix product state,
(2024). From digital to quantum projected entangled pair state, and multiscale entanglement renormalization
epidemiology: The Quantum Data
Lake concept for big data related ansatz [MERA]), alongside PT-symmetry properties. PT-symmetry can serve as an
to viral infectious diseases. Global intuitive modeling tool, and PT-symmetry breaking can detect the hidden shift in
Health Econ Sustain, 2(1): 2148. the information that is permanently updated in the Data Lake. The computational
https://doi.org/10.36922/ghes.2148 output is presented as PT-symmetry gain/loss equilibrium breaking in the form
Received: October 31, 2023 of a complex number, i.e., two possible variants of epidemic modeling. For MERA,
Accepted: December 27, 2023 non-Hermiticity with spontaneous PT-symmetry breaking can theoretically
appear as a violation of the entanglement monotonicity and local entanglement
Published Online: March 20, 2024 gain, leading to a non-reversible character of the coarse-graining transformation.
Copyright: © 2024 Author(s). The duality of PT-symmetry equilibrium breaking can be compared to, for
This is an Open-Access article example, the estimation of the best and worst scenarios simultaneously, or the
distributed under the terms of the
Creative Commons Attribution gain of entanglement can display a significant correlation between some studied
License, permitting distribution, parameters embedded into the data. The fundamental difference between digital
and reproduction in any medium, and quantum epidemiology is the implementation of quantum logic and reliance
provided the original work is
properly cited. on a quantum theory.
Publisher’s Note: AccScience
Publishing remains neutral with Keywords: Big data; Quantum epidemiology; Quantum Data Lake; DNA viruses;
regard to jurisdictional claims in
published maps and institutional Infectious diseases; PT-symmetry
affiliations.

Volume 2 Issue 1 (2024) 1 https://doi.org/10.36922/ghes.2148