Quantum economics postulates ideas about quantum money, quantum finance, and quantum social science and shows that the economy is an archetypal example of a quantum social system, complete with its versions of measurement, i.e., uncertainty, entanglement, superposition, and so on.A sizeable literature on quantum economics has grown in recent periods.This paper reviews some theoretical developments and empirical studies on Quantum economics to provide a comprehensive analysis of the potential implications of Quantum Physics and its philosophical ideas in the domains of economics, finance, and social science.Moreover, this studies also focused Why the field of Quantum Economics arises" how Quantum economics links physics, economics, and social science.All reviews and research papers examine the use of learning strategies in Quantum Economics.The overall results shows the following Possible applications of quantum Physics' in Economics: (i) enhanced computational capabilities for big data and complex problems, (ii) secure quantum-based currency, (iii) innovative tools for policymaking, and (iv) advanced behavioral and decisionmaking analysis under uncertainty.This paper provides an overview of the Quantum economics literature, background history, conceptual insights, economic policy, and conceptual and methodological critique.Finally, we present an agenda for future research in the field.
Quantum economics postulates ideas about quantum money, quantum finance, and quantum social science and shows that the economy is an archetypal example of a quantum social system, complete with its versions of measurement, i.e., uncertainty, entanglement, superposition, and so on.A sizeable literature on quantum economics has grown in recent periods.This paper reviews some theoretical developments and empirical studies on Quantum economics to provide a comprehensive analysis of the potential implications of Quantum Physics and its philosophical ideas in the domains of economics, finance, and social science.Moreover, this studies also focused Why the field of Quantum Economics arises" how Quantum economics links physics, economics, and social science.All reviews and research papers examine the use of learning strategies in Quantum Economics.The overall results shows the following Possible applications of quantum Physics' in Economics: (i) enhanced computational capabilities for big data and complex problems, (ii) secure quantum-based currency, (iii) innovative tools for policymaking, and (iv) advanced behavioral and decisionmaking analysis under uncertainty.This paper provides an overview of the Quantum economics literature, background history, conceptual insights, economic policy, and conceptual and methodological critique.Finally, we present an agenda for future research in the field.
A decade after the financial crisis, there is a growing consensus that the neoclassical approach to economics has failed, and that new approaches are needed. This paper argues that economics has been trying to solve the wrong problem. Economics sees itself as the science of scarcity, but instead it should be the science of money. Just as physicists' ideas about quantum matter were formed by studying the exchange of particles at the subatomic level, so economics should begin by analysing the properties of money-based transactions, which like quantum entities have a fundamentally dualistic nature. By building on ideas from quantum money, quantum finance and quantum social science, this paper shows that the economy is an archetypal example of a quantum social system, complete with its own versions of measurement uncertainty, entanglement, and so on. This leads to a proposal for a quantum economics, which is to neoclassical economics what quantum physics is to classical physics.
Quantum economics is an interdisciplinary field that combines the principles of quantum mechanics and economic theories. The research examines the main theoretical and practical aspects of quantum economics, starting with its theoretical foundations based on the principles of quantum mechanics, such as superposition, uncertainty and entanglement, and ending with practical applications and perspectives for further research. Special attention was paid to the potential impact of quantum technologies on finance, marketing, supply chain management, as well as on macroeconomic planning and policy. It discusses how quantum algorithms can transform traditional approaches in economic research and practice, providing new methods for analyzing complex data, improving forecasting of economic trends, and optimizing decisions under uncertainty. Quantum economics opens up new perspectives for understanding dynamic and interconnected processes in the global economy, which can fundamentally change our perception of economic laws and strategies. It is emphasized that the quantum economy is at the initial stage of its development, and scientists and practitioners face many challenges and questions that need to be solved. In the future, we can expect the development of new tools for economic analysis and decisionmaking based on quantum computing, which will allow us to cope with current and future economic challenges more effectively. The quantum economy can also offer new approaches to risk management and financial security, especially in light of growing cyber threats and the need to protect economic information. Quantum economics is an exciting and promising direction that can significantly enrich both theoretical and applied aspects of economic science.
Abstract Since Adam Smith, economics has erected a grand edifice upon the foundations of rational agents, equilibrium analysis, and linear causality; however, the 2008 global financial crisis, the European sovereign debt crisis, and the COVID-19 pandemic have successively revealed its fundamental limitations when confronted with complex economic phenomena: bubbles that ought not to have existed, crises unforeseen by equilibrium models, non-linear ruptures brought about by technological revolutions, and self-fulfilling expectations—all of which call for a richer theoretical language. This book serves as the foundational introduction to the "Quantum Economics Textbook Series," as well as the first gateway into this entire series. It introduces the methodological framework, mathematical apparatus, and philosophical insights of quantum mechanics to economic analysis, grounding its approach in the core proposition of a practical ontology—that human economic practice itself possesses quantum attributes such as superposition, entanglement, constructibility, uncertainty, and emergence—thereby reconstructing the economic world as a quantum process of superposition and evolution. Six core concepts—superposition, entanglement, measurement collapse, the uncertainty principle, quantum transitions, and emergence—run throughout the work. Quantum economics does not represent a simple negation of classical theory; rather, it constitutes a dialectical sublation: under the classical limit—where decoherence is complete, the measurement basis is fixed, and entanglement vanishes—quantum theory precisely reduces to classical theory. This book comprises five parts and thirty chapters: Part I establishes the paradigm shift and theoretical framework, covering critiques of Newton's worldview, the quantum worldview, a foundational conceptual framework, mathematical foundations, and research methodologies; Part II reconstructs quantum microeconomic theory, encompassing consumers, producers, pricing, markets, the wave-particle duality of markets, quantum games, and welfare economics; Part III builds quantum macroeconomic theory, addressing national income accounting, money, inflation, economic cycles, policy, and open economies; Part IV explores quantum finance and market dynamics, including asset pricing, portfolio management, market sentiment, risk management, and trading theory; Part V extends the scope to organizations, innovation, institutions, development, economic ethics, and the digital economy, while offering insights into the future of this discipline. This volume is intended for undergraduate and graduate students, as well as researchers in economics and related fields, and serves as the essential first volume in the quantum economics series.
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.
In recent years, quantum economics has emerged as a revolutionary discipline that applies the fundamental principles of quantum physics to offer a new perspective on the uncertainty and complexity inherent in modern economic systems. Quantum cognition plays a fundamental role in this framework, explaining how individuals process information and make decisions in contexts of ambiguity and uncertainty. Using quantum mechanisms such as the superposition of mental states, interference, and entanglement, quantum cognition models complex behavioral phenomena that are inexplicable by classical decision theory, such as the effects of presentation order and cognitive paradoxes. This article examines the intersection between quantum economics, quantum cognition, decision-making, and sustainability in financial environments through a systematic review following the PRISMA methodology and a bibliometric analysis. Recent advances in artificial intelligence and quantum computing are driving the practical application of these approaches, improving the management of uncertainty in sectors such as renewable energy and sustainable resource management. The results show that quantum economics is a promising framework for the design of policies and strategies aimed at achieving the Sustainable Development Goals (SDGs).
Since its emergence in the 1970s, behavioral economics has integrated psychological insights into economics—drawing on Kahneman and Tversky's prospect theory, Thaler's psychological accounting and boost theory, and Schiller's behavioral finance—thereby dismantling the myth of the "homo economicus" and revealing systematic cognitive biases inherent to human decision-making. However, classical behavioral economics has been constructed from a collection of fragmented "effects" and "biases," lacking a unified, axiomatic mathematical framework; moreover, the frequent practice among researchers to selectively apply individual effects has undermined the discipline's predictive power and theoretical coherence. This book is the first academic monograph in the world to systematically expound on quantum behavioral economics—a new paradigm devised specifically to overcome this fundamental dilemma. It introduces concepts such as Hilbert spaces, state vectors, superposition, entanglement, measurement collapse, quantum probability, interference effects, unitary evolution, decoherence, non-commutative observables, and quantum phase transitions into the foundational bedrock of behavioral economics: that preferences and beliefs coexist in a superposition prior to decision-making; that decision-making consists of constructing measurements to extract definite preferences via measurement collapse; and that the beliefs and behaviors of individuals are entangled, exhibiting non-local quantum correlations. Furthermore, it posits that the sequence in which information is presented and the framing effects are intrinsic properties of quantum decision-making—rather than mere "biases." This book comprises six parts and thirty chapters: Part I, "Paradigm Revolution," establishes the philosophical foundations, the quantum subject hypothesis, and the analytical framework; Part II develops quantum probabilistic judgments, quantum heuristics, quantum prospect theory, quantum decision-making under uncertainty, and quantum framing effects; Part III explores quantum preferences, quantum utility, quantum choice theory, quantum endowment effects and loss aversion, as well as the current state of quantum research and default effects; Part IV extends the scope to quantum social preferences, quantum altruism, quantum trust and cooperation, quantum game theory, and quantum public goods games; Part V examines quantum intertemporal choice, quantum hyperbolic discounting, quantum self-control, quantum procrastination and addiction, and quantum habit formation and behavioral change across temporal dimensions; Part VI demonstrates the application of framing in finance, markets, public policy, and health domains, while offering insights into the future of this discipline. This work pursues three overarching objectives: theoretical unification and depth, originality and authority, and seamless readability. It is intended for graduate students, faculty, and researchers in behavioral economics, decision science, psychology, and finance, as well as for public policy makers and practitioners in financial markets to provide new paradigm-based analytical tools.