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Updated: Jan 10, 2026
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Published on: September 8, 2023
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Quantum causality beneath classical stochasticity: from physics to the social sciences.
Vikram Athalye1, Emmanuel Haven2
1Department of Physics, Cummins College of Engineering for Women, Pune, Maharashtra, India.
Summary
Classical stochastic processes (CSPs) can be simulated using quantum mechanics, suggesting they emerge from quantum causal structures. This quantum framework explains randomness and causality, with applications in financial modeling.
Area of Science:
- Quantum Physics
- Stochastic Processes
- Financial Modeling
Background:
- Classical stochastic processes (CSPs) are traditionally modeled within classical paradigms.
- Quantum physics offers potential new frameworks for understanding randomness and causality.
Purpose of the Study:
- To present a quantum mechanical method for simulating CSPs.
- To propose CSPs as emergent phenomena from quantum causal structures.
- To explore quantum formalism as an explanatory framework for stochastic behavior.
Main Methods:
- Developing a quantum simulation method for CSPs.
- Integrating different quantum interpretations.
- Incorporating the Subject of Cognizance (SoC) concept.
- Applying the framework to model stock price dynamics.
Main Results:
- Demonstrated a novel quantum approach to simulating CSPs.
- Established a theoretical link between CSPs and underlying quantum causal structures.
- Showcased the framework's utility in modeling financial markets.
Conclusions:
- CSPs can be viewed as emergent phenomena from quantum causality.
- Quantum formalism provides a richer understanding of classical randomness.
- The proposed framework has implications for decision-making models and financial analysis.
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