This study examines how David Bohm’s quantum theoretical principles, embodied in wholeness, implicate order, and holomovement provide innovative frameworks for reconceptualizing sustainable development. Current approaches remain constrained by mechanistic paradigms that fragment economic, environmental, and social systems, limiting transformative solutions to recurring global crises. Through systematic conceptual analysis and cross-disciplinary literature review, this research develops consciousness-based models that transcend fragmented thinking and separated domains by applying quantum metaphysical principles in socio-economic systems in an integrated manner. Comparative systems analysis reveals significant parallels between quantum mechanical principles and economic behavior, demonstrating how Bohm’s framework addresses sustainability challenges through the epistemological and ontological transformation of information rather than mere technical optimization. Generalization and illustrative modeling show how implicate order dynamically enables economic coherence, organizational intelligence, and systemic governance. Expressions are derived for unfolding sustainable development operators and kinematic transformations evolving with quantum economics. Two central quantities emerge: active and passive information, exhibiting close analogies with gravitational pull and sustainability potential, bounded by thermodynamic laws and entropy principles. This formulation corresponds to and transcends the quantum law of syllogism, bridging information theory, quantum mechanics, and sustainability metrics. The 2025 coherence–entropy sustainable development scores findings correlatively unify Shannon entropy, Bohmian coherence, and Feynman extremals. A sustainability law of syllogism was suggested, confirming the systemic coherence of the scores. The Appendix validates Bohm’s concepts, facilitating paradigm shifts from mechanistic control to participatory transformation, establishing theoretical foundations for quantum-informed economics, consciousness-based management, and holistic responses to global sustainability challenges that have become increasingly urgent since Bohm’s original discoveries.
This study examines how David Bohm’s quantum theoretical principles, embodied in wholeness, implicate order, and holomovement provide innovative frameworks for reconceptualizing sustainable development. Current approaches remain constrained by mechanistic paradigms that fragment economic, environmental, and social systems, limiting transformative solutions to recurring global crises. Through systematic conceptual analysis and cross-disciplinary literature review, this research develops consciousness-based models that transcend fragmented thinking and separated domains by applying quantum metaphysical principles in socio-economic systems in an integrated manner. Comparative systems analysis reveals significant parallels between quantum mechanical principles and economic behavior, demonstrating how Bohm’s framework addresses sustainability challenges through the epistemological and ontological transformation of information rather than mere technical optimization. Generalization and illustrative modeling show how implicate order dynamically enables economic coherence, organizational intelligence, and systemic governance. Expressions are derived for unfolding sustainable development operators and kinematic transformations evolving with quantum economics. Two central quantities emerge: active and passive information, exhibiting close analogies with gravitational pull and sustainability potential, bounded by thermodynamic laws and entropy principles. This formulation corresponds to and transcends the quantum law of syllogism, bridging information theory, quantum mechanics, and sustainability metrics. The 2025 coherence–entropy sustainable development scores findings correlatively unify Shannon entropy, Bohmian coherence, and Feynman extremals. A sustainability law of syllogism was suggested, confirming the systemic coherence of the scores. The Appendix validates Bohm’s concepts, facilitating paradigm shifts from mechanistic control to participatory transformation, establishing theoretical foundations for quantum-informed economics, consciousness-based management, and holistic responses to global sustainability challenges that have become increasingly urgent since Bohm’s original discoveries.
To address the practical impasse of mainstream economics—rooted in the deterministic worldview of Newtonian mechanics—where its mechanistic and linear analytical framework struggles to handle complex scenarios in the digital economy era, such as interactive decision-making, globally non-local correlations, and systemic mutations after sudden shocks, leading to a pronounced tension between theory and practice, this paper constructs a quantum economics analytical framework. Drawing on the inherent uncertainty revealed by quantum mechanics and based on the core isomorphism between economic systems and quantum systems (both centering on uncertainty, featuring superposition of multiple states, observer-induced interaction, and holistic correlations), it translates quantum core logics like superposition, entanglement, and transition into economic analytical tools. Methods such as entanglement entropy and quantum state transition probabilities are employed to quantify the complex correlations and state transformations of economic variables. Empirical studies of China’s macroeconomy validate the framework’s effectiveness, precisely capturing structural features like the strong correlation between money supply and economic growth, transmission frictions between money and prices, and paradigm shifts under policy shocks and event impacts. It further reveals the synergistic effect of a multi-variable system (“1+1+1>3”), quantifies the transitional characteristics and transformation laws of inflation states. The findings demonstrate that quantum economics elevates “uncertainty” to the theoretical core, transcending the paradigm limitations of traditional economics. It provides a novel quantitative perspective for understanding the complex essence and structural contradictions of economic systems, offering a systematic solution to the challenges of modern economic complexity.
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).
This essay develops a post-Bohmian framework for understanding reality as an informational and computational ontology rather than a material substrate. Building on David Bohm’s implicate order, it proposes that consciousness functions as the active rendering mechanism of reality—transforming quantum potential into phenomenological form through observation and interaction. Integrating insights from quantum mechanics, neuroscience, and systems theory, the text argues that perception operates as an adaptive interface, not as a transparent window to an external world. The concept of computational efficiency is introduced to reinterpret physical constraints—such as the speed of light and quantum indeterminacy—as expressions of systemic optimization within a larger simulation-like architecture. Further, the essay explores how biological systems act as distributed rendering nodes that stabilize reality through coherent interpretation, and how altered states of consciousness reveal the underlying informational substrate by temporarily bypassing perceptual filters. Ethically, the work redefines human responsibility: consciousness is not a passive byproduct of the universe, but its active co-creator. The act of perception is thus both epistemic and ontological—a process through which the universe continuously updates itself. This post-Bohmian synthesis aims to reconcile the experiential, physical, and informational dimensions of existence under a unified paradigm of conscious computation.
Quantum Economic Philosophy takes the quantumlike features inherent in human cognition as its starting point, reconstructing economic philosophy to rethink and transcend the mechanistic worldview that has long dominated economic thought. It reworks the ontological, epistemological and methodological underpinnings of economics through quantum logic, breaking away from the constraints of classical substance ontology. Within this new framework, economic agents are no longer isolated, selfcontained atomic individuals but relational nodes embedded within networks; economic states are not predetermined objective facts waiting passively to be documented, but a set of coexisting, superposed potentialities. Economic observation is not a detached, neutral act of recording; rather, observation, together with the observer’s expectations and actions, actively participates in shaping the economic reality under investigation. Adopting a practical ontology, this book reinterprets core categories including value, capital, markets and economic justice. It unpacks the implicit metaphysical presuppositions embedded within mainstream economics, and clarifies that the quantum turn is not merely rhetorical borrowing from quantum physics. Instead, it constitutes a fundamental paradigm shift suited to the endogenous reflexivity, uncertainty and generative character of economic systems. Balancing rigorous philosophical inquiry with theoretical extensibility for economics, this volume is written for students, researchers and thinkers working in economics, economic philosophy and social theory. It strips away the a priori assumptions built into the conventional equilibrium paradigm, lays a coherent and unified conceptual foundation for the entire quantum economics book series, and furnishes a fresh philosophical vocabulary for re-examining economic order, human choice and institutional evolution.
Background: The accelerating confluence of quantum computing, big data infrastructures, and advanced artificial intelligence (AI) models is reshaping the theoretical and practical contours of financial analytics, digital marketing, supply chain optimization, and educational infrastructures. Scholarly and practitioner literatures document significant advances across each domain — quantum architectures and algorithmic paradigms, expansive big data platforms and measurement regimes, and powerful AI systems including large language models and multimodal foundation models — yet integrated frameworks that articulate the combined potential and attendant challenges remain nascent (Preskill, 2023; Tosi et al., 2024; Hong et al., 2024). Objectives: This article synthesizes the extant literature to construct a conceptual and methodological scaffold for integrating quantum-enabled computation with big data and AI in financial and economic analysis. It clarifies problem spaces, articulates methodological choices conducive to responsible adoption, analyzes potential transformative outcomes across organizational practice and education, and identifies unresolved research gaps demanding priority attention. The approach emphasizes theoretical rigor, cross-disciplinary citation, and practical interpretive analysis to serve both academic researchers and senior practitioners. Methods: We employ a critical integrative review method that draws on systematic literature syntheses, cross-disciplinary theoretical elaboration, and analytic argumentation. The methodology combines thematic synthesis of provided references, translation of technical claims into descriptive analytical narratives, and normative discussion of implementation pathways supported by cited evidence (Tosi et al., 2024; Sardi et al., 2023). Findings: Quantum computing promises algorithmic speedups for classes of problems relevant to finance (optimization, sampling, and certain linear-algebraic subroutines), yet practical advantage depends on hybrid classical-quantum architectures and careful encoding of big data into quantum-accessible representations (Preskill, 2023; Rayhan & Shahana, 2023). AI advances, particularly in foundation models and multimodal systems, provide powerful representational tools that reshape feature engineering, natural language understanding, and scenario simulation for economic forecasting and M&A diligence (Arachchige et al., 2023; Hong et al., 2024). Big data infrastructures have matured over fifteen years, yet integration challenges — governance, measurement, and sustainable performance — persist and condition how quantum and AI systems can actually be deployed (Tosi et al., 2024; Sardi et al., 2023; Rashid et al., 2024). Conclusions: The transformative potential at the intersection of quantum, big data, and AI is real but contingent. Realizing benefits in finance and related domains requires: (1) methodological advances in encoding and hybrid computation, (2) governance frameworks for data quality and ethical AI, (3) workforce re-skilling oriented to new analyst roles, and (4) empirical research focusing on scaled field deployments and measurable outcomes. We conclude with a detailed research agenda and policy recommendations designed to accelerate responsible innovation while managing risks
Introduction. Modern financial science increasingly faces a paradox: classical models based on deterministic assumptions fail to adequately describe the nonlinearity and uncertainty of public decision-making. In this context, the quantum paradigm of thinking, originally developed in physics, is becoming increasingly relevant as it gradually penetrates the fields of economics and finance. Problem Statement. In contemporary academic discourse, growing attention is being paid to the integration of the principles of quantum logic into socio-economic systems. Traditional financial science rests upon classical macroeconomic determinants that assume linearity, causal determinacy, and parameter stability. However, in the modern world – characterized by high uncertainty, dynamic crises, and global financial fluctuations – such logic proves insufficient. Therefore, there is a pressing need to employ quantum logic as a modern cognitive and analytical paradigm that enables the comprehension of the essence and structure of public finance through the prism of nonlinear, stochastic, and interrelated phenomena and processes. Purpose is to establish a theoretical and methodological foundation for applying quantum principles in the domain of public finance and to identify directions for their practical implementation. Methods. To obtain the scientific results presented in the article, the following methods were employed: methods of quantum logic, synthesis and analysis, deduction and induction, an abstract-logical method of “negation of negations” in financial decision-making, and theoretical generalization to define the nature of quantum finance. Results. The article reveals the potential for interpreting key principles of quantum physics within the system of public finance. A dual-level research framework is proposed, combining methodological analogies between quantum and financial processes with the practical application of quantum models in state financial management. It is demonstrated that the concepts of uncertainty, superposition, and coherence allow for a deeper understanding of the nature of budgetary decisions, tax expectations, debt imbalances, and behavioral effects in the public sphere. Conclusions. Quantum logic crystallizes a methodological framework for modern public finance capable of accounting for the complexity, uncertainty, and interconnectivity of global transformations, hybrid wars, and the contemporary economy. The application of quantum paradigms makes it possible to construct dynamic, probabilistic models of financial policy that significantly surpass the capacities of classical deterministic methods and open new perspectives for scientifically grounded public governance in the field of public finance.