The Co-Evolution of Quantum Physics and Finance

Quantum physics and finance are often connected through mathematical analogy or promises of computational acceleration. This article develops an alternative account of asymmetric co-evolution. A selective conceptual synthesis distinguishes shared mathematical ancestry, explicit transfer, and reciprocal innovation across uncertainty, valuation, measurement, computation, and monetary security. Quantum theory supplies representational and computational possibilities; financial problems impose constraints that can redirect quantum information research. Documented feedback is strongest in algorithm design and cryptographic tasks. This article proposes testable research directions concerning investor judgment, financial validation, decision-relevant computational advantage, market adoption, and quantum money. Progress requires reciprocal discipline: quantum methods must satisfy financial restrictions, while finance must incorporate the physical and computational conditions governing information.

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Publication Details

Journal
International Journal of Innovation and Entrepreneurship
Published
2026-10-15
DOI
https://doi.org/10.56502/ijie05010001
Primary Topic
Quantum Computing Algorithms and Architecture
Type
article
Field-Weighted Citation Impact
0.00
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article

The Co-Evolution of Quantum Physics and Finance

Dong Guo, Jiao Zhao, Zhengyuan Ma
International Journal of Innovation and Entrepreneurship
Quantum Computing Algorithms and Architecture
article

The Co-Evolution of Quantum Physics and Finance

Dong Guo, Jiao Zhao, Zhengyuan Ma
article en

Abstract

Quantum physics and finance are often connected through mathematical analogy or promises of computational acceleration. This article develops an alternative account of asymmetric co-evolution. A selective conceptual synthesis distinguishes shared mathematical ancestry, explicit transfer, and reciprocal innovation across uncertainty, valuation, measurement, computation, and monetary security. Quantum theory supplies representational and computational possibilities; financial problems impose constraints that can redirect quantum information research. Documented feedback is strongest in algorithm design and cryptographic tasks. This article proposes testable research directions concerning investor judgment, financial validation, decision-relevant computational advantage, market adoption, and quantum money. Progress requires reciprocal discipline: quantum methods must satisfy financial restrictions, while finance must incorporate the physical and computational conditions governing information.

International Journal of Innovation and EntrepreneurshipVol. 5(1)
China Development Bank (CN), Renmin University of China (CN)
Openalex Percentile: Top 13%
Quantum Computing Algorithms and Architecture
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