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Global Health Econ Sustain Quantum Data Lake for epidemic analysis

complex values, i.e., hyperbolic imaginary numbers (Boray Robson semantic triples and HDNet represent a bridge
& Robson, 2017). The relationship operator R can itself be between semantic text (data) processing and networks,
a core quantum circuit (such as Quantum Full Adder or including quantum tensor networks. This facilitates
Quantum Fourier Transform Multiplier circuits). Thus, building the matrix product state (MPS), projected
entangled pair state (PEPS), and multiscale entanglement
renormalization ansatz (MERA), as well as Clifford
multilayer perceptrons, based on semantically extractable
knowledge from unstructured big data aggregated in
the Hadoop Distributed File System. Therefore, we have
formulated two important points (as follows) regarding
the possibilities of using Q-UEL and HDNet within the
general framework of the Quantum Data Lake:
(i) Q-UEL can be categorized as logical AI because it
connects language (as a way of representing knowledge
and ontology construction) with Dirac’s quantum
mechanics, Clifford geometric algebra, and quantum
computing. A follow-up study of this connection may
be of interest, not only for the advancement of AI but
also for neurocognitive and linguistic research.
(ii) Q-UEL allows the creation of a large and real-time
updated chain of big data and simultaneously avoids
problems related to the short-term memory of qubits,
Figure 3. The conceptual schematic of a hybrid PT-APT-symmetric as observed in the “quantum ribosome” structure
system, where k is the coupling constant. (Figure 4).

Figure 4. The proposed “quantum ribosome” structure with Q-UEL and Hyperbolic Dirac Net incorporated into the Quantum Data Lake concept.

Volume 2 Issue 1 (2024) 23 https://doi.org/10.36922/ghes.2148