Chris Aznaouridis1, Ioannis Aznaouridis2
1 Dipl.-Eng. in Electrical and Computer Engineering 2 PhD, Economist, Political & Social Scientist
1 Expert in advanced digital architectures and national-scale e-government platforms, University of Piraeus
2 Adjunct Lecturer at Mediterranean College, University of Derby
Corresponding Author: Ioannis Aznaouridis, aznajohnny@gmail.com
https://doi.org/10.63711/ijdr.net20250401
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ABSTRACT
This article explores the interdisciplinary interface between quantum computing and economic theory, with a particular emphasis on how foundational concepts from quantum mechanics reshape core methodological and epistemological assumptions in economics. Drawing on a comprehensive bibliographic methodology, the study synthesizes contributions from quantum physics, computational theory, and economic modeling to trace the impact of quantum logic -especially principles such as superposition, entanglement, and measurement irreversibility- on both theoretical constructs and applied frameworks. Particular attention is given to emblematic algorithms (e.g., Shor’s and Grover’s) as case studies for illustrating computational discontinuities in fields such as cryptographic trust, portfolio optimization, and decision-making under uncertainty. The article also surveys recent developments in quantum machine learning and quantum-inspired models relevant to economic forecasting and adaptive policy design. Ethical and distributional concerns are critically addressed, especially in relation to the asymmetric global access to quantum resources. By mapping this emerging field through a structured review of cross-disciplinary literature, the paper offers a conceptual framework for understanding how quantum technologies may influence future research in financial economics, risk theory, and the modeling of complex systems operating under deep informational constraints.
Keywords: Shor’s-Grover’s Algorithms, Quantum Computing/Logic, Superposition, Decision Theory, Financial Technology
JEL Codes: C63, D80, E61
Research Area: Quantum Computing, Economics
Copyright © 2025 The Author(s). This article is licensed under CC BY 4.0.
