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Global Health Econ Sustain Quantum Data Lake for epidemic analysis

The “quantum ribosome” or quantum processor 4. Conclusion
(quantum processing unit) sequentially computes big
data stored traditionally as it encodes big data to Robson The study is dedicated to the development of quantum
semantic triples and HDNet as quantum data, the epidemiology, the next anticipated phase in epidemiology
computation of which is comparable to a batch sequential transformation, as new quantum technologies have
data flow architecture. Depending on the available numbers emerged. The study highlighted the necessity to investigate
of qubits, some parts of the data can be entangled to generate the interaction of viruses with the human population using
MPS, which would be teleported to QRAM by a QRAM- quantum theory. The fundamental difference between
linked quantum processor (e.g., chipset). Teleportation digital and quantum epidemiology is the implementation
of quantum logic and reliance on quantum theory. The
is a promising quantum tool that transports quantum reliance on superposition, entanglement, parallelism, and
information from one quantum state to another using quantum neural networks (i.e., in consideration of data
entangled pairs or clusters of qubits (Bennett et al., 1993; uncertainty, multidimensionality, and disconnection)
Bouwmeester et al., 1997; Huang et al., 2020; Lago-Rivera ensures the paradigm shift from data-driven to value-
et al., 2023; Rajiuddin et al., 2020; Sk et al., 2020; Verstraete driven strategies. In this study, the Quantum Data Lake
& Verschelde, 2003). Thus, the large and real-time updated concept was proposed, and it consisted of several layers,
chain of big data stored traditionally can be sequentially including a layer denoting quantum databases and
encoded, computed, and transformed to quantum tensor quantum tools. In contrast to the advantages of quantum
networks in QRAM. Sequentially retrieving quantum data computing (e.g., high-speed performance and large parallel
from QRAM in the required order enables a quantum scale), the proposed approach emphasizes the fundamental
processor to operate with a bigger set of correlated data uniqueness of quantum theory for modeling due to the
than it is capable of operating at the physical level. entanglement of the quantum many-body systems with
Different data sets (e.g., environmental, social, and non-Hermitian Hamiltonians. The computation output is
immune factors; compartmental model SIR; data about eight a broken PT-symmetry gain/loss equilibrium, commonly
families of DNA viruses that infect humans; and diseases and expressed as a complex number, i.e., two possible variants
clinical symptoms caused by these viruses) can be organized of epidemic modeling.
as tensor networks. Changes in the epidemic situation Nonetheless, it is essential to evaluate the development
can be predicted by modeling all incoming data using the of health care for long-term policy planning, especially for
quantum properties of Hermiticity and non-Hermiticity. viral infections. In this context, the common evaluations
The computation output is a broken PT-symmetry gain/ would include the following: estimating the number
loss equilibrium, normally expressed in complex numbers, of infected people and forecasting the infection over a
i.e., two possible variants of epidemic modeling. In addition specified period depending on different social conditions;
to the advantages of quantum computing (e.g., high-speed assessment of the development of the complications due
performance and large parallel scale), we emphasized to viral infection, including a forecast of the number of
the fundamental uniqueness of quantum theory that death or cancer cases; modeling the potential emergence
provides new possibilities for modeling, exploiting the of an epidemic under different environment and social
PT-symmetric Hamiltonian balance of energy gain/loss conditions; assessment of coinfections and their impact on
and spontaneous PT-symmetry breaking. For MERA, the health-care system, etc.
non-Hermiticity with spontaneous PT-symmetry breaking
can theoretically appear as a violation of the entanglement DNA viral infections significantly impact the morbidity
monotonicity and local entanglement gain, leading to a and mortality of the global population, critically damaging
non-reversible coarse-graining transformation. The duality multiple organs in an individual, including the development
of PT-symmetry equilibrium breaking can be compared, for of different types of cancer. Therefore, advanced models
example, by simultaneously analyzing the best- and worst- should be applied to address the alarming morbidity and
case scenarios, and the gain of entanglement can express a mortality of viral infections. Notably, the advancement of
significant correlation between some parameters embedded quantum databases and the development of the Quantum
in the data. Figures S10–S18 exemplify the above, i.e., data Data Lake architecture could have universal applications
presented as MPS and PEPS, ternary (3-site blocks) MERA that are not limited to the field of epidemiology and
with lattice length corresponding to calculated cases, and the health care.
assumed version of quantum non-Hermitian many-body In summation, quantum theory may be the solution
system (i.e., MERA) with violation of the entanglement to the challenges faced in sustainable development, and a
monotonicity and appearance of local entanglement gain transition into quantum modeling of health-care data may
due to spontaneous PT-symmetry breaking. fundamentally establish new insights into health care.

Volume 2 Issue 1 (2024) 27 https://doi.org/10.36922/ghes.2148