Quantum Computing and Economic Calculation: implications for Economic Theory and Practice

George Chirita, Mioara Chiriţă

Quantum computing represents one of the most disruptive technological paradigms of the 21st century, with profound implications for economic modelling, financial optimization, and computational decision-making. Unlike classical computing, quantum systems leverage superposition, entanglement, and interference to solve problems of exponentially higher complexity, a capability with transformative potential for economics and finance. This study examines the intersection of quantum computing and economics, systematically evaluating both the promises and the barriers defining this emerging field. Regarding opportunities, quantum algorithms, such as the Quantum Approximate Optimization Algorithm (QAOA) and Grover's algorithm, demonstrate significant theoretical advantages in portfolio optimization, risk assessment, option pricing, and the resolution of large-scale combinatorial problems that are intractable for classical machines. Quantum machine learning extends these prospects, offering accelerated capabilities for pattern recognition and predictive modelling relevant to financial markets. However, substantial barriers temper these expectations. Current quantum hardware operates in the NISQ (Noisy Intermediate-Scale Quantum) era, where decoherence, gate errors, and a limited number of qubits constrain practical applicability. The gap between theoretical quantum advantage and real-world economic implementation remains significant, compounded by a shortage of specialists, high infrastructure costs, and the absence of standardized programming frameworks tailored to economic applications. Through a bibliometric analysis of existing literature and a critical review of recent experimental results, the study maps the current state of quantum computing adoption in economics, identifies the most active research frontiers—quantum game theory and quantum portfolio optimization—and outlines the conditions under which quantum advantage could become economically relevant. The findings suggest that, although quantum computing will not transform economic practice in the short term, its long-term disruptive potential warrants proactive engagement from economists, financial institutions, and policymakers.

Isaiah Hull, Or Sattath, Eleni Diamanti +1 more

Cezar Liviu Cervinschi, Toma Cristian, Claudiu Brândaș +1 more

As quantum computing progresses from theory to practical systems, its environmental and economic sustainability remains underexplored.This paper analyzes both the carbon footprint and cost implications of quantum computing technologies, with attention to their alignment with global sustainability goals.Key contributors to energy consumption, emissions, and operational costs are identified across the quantum computing lifecycle: hardware manufacturing, cryogenic cooling, runtime power demands, and quantum circuit simulation.The study employs a qualitative methodology, integrating a comprehensive review of scientific literature, environmental assessments, cost analysis reports, and benchmarking frameworks.It further presents a comparative analysis of quantum and classical high-performance computing (HPC), evaluating energy efficiency, environmental impact, and cost-effectiveness across realistic scenarios.By addressing both sustainability and economic dimensions, this research provides new insights for developers and policymakers, supporting the advancement of greener and more costeffective quantum technologies.

Tad Hogg, David A. Fattal, Kay‐Yut Chen +1 more

Tatsuru Kikuchi

IHSIEN CHOU

This paper explores the quantum many-worlds interpretation (MWI) and its implications beyond fundamental physics, extending to decision theory, game theory, and economics. Starting from the foundational principles of MWI, we examine how observers interact with branching universes, analyze Newcomb’s paradox in both classical and quantum forms, and discuss applications in quantum game theory and quantum economics. By integrating quantum concepts like superposition, entanglement, and interference, we demonstrate how these ideas resolve classical paradoxes and offer novel frameworks for modeling complex systems. Mathematical formulations are presented using Unicode symbols for clarity. The many-worlds interpretation of quantum mechanics, proposed by Hugh Everett III in 1957, posits that the universe branches into multiple parallel realities during quantum measurements, avoiding the wave function collapse postulate. This framework has profound philosophical and practical implications, particularly in understanding decision-making under uncertainty. In this paper, we synthesize discussions on MWI, observer roles in branching, Newcomb’s paradox, its quantum variant, quantum game theory, and quantum economics. These topics form a coherent progression from quantum foundations to applied interdisciplinary fields, highlighting how quantum principles can reshape classical theories.