Quantum economics

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Quantum economics is an emerging research field which applies methods and ideas from quantum physics to the field of economics. It is motivated by the belief that economic processes such as financial transactions have much in common with quantum processes, and can be appropriately modeled using the quantum formalism. It draws on techniques from the related areas of quantum finance and quantum cognition, and is a sub-field of quantum social science.



A number of economists including Paul Samuelson [1] and Bernard Schmitt (whose "quantum macroeconomics" treated production as an instantaneous emission [2] ) have found inspiration in quantum theory. Perhaps the first to directly exploit quantum techniques in economic analysis, however, was the Pakistani mathematician Asghar Qadir. In his 1978 paper Quantum Economics, he argued that the formalism of quantum mechanics is the best mathematical framework for modeling situations where "consumer behavior depends on infinitely many factors and that the consumer is not aware of any preference until the matter is brought up." [3] He proposed that, like particles in quantum mechanics, "the individual as an entity ... can be thought of as a point in a Hilbert space."

Qadir's paper received little attention. However, during the 1990s, workers in the field of quantum cognition indeed showed that many aspects of human decision-making, including those involved in economic decisions, seemed to follow a kind of quantum logic. [4] At the same time, researchers such as economist Martin Shubik, physicist Martin Schaden and social scientist Emmanuel Haven were beginning to use the quantum formalism to model the uncertainty of stock markets. [5] [6] [7]

In his 2007 book Quantum Finance: Path Integrals and Hamiltonians for Options and Interest Rates, Belal E. Baaquie showed how methods from quantum physics could be applied to things like the pricing of financial options. However he wrote that the ‘’larger question of applying the formalism and insights of (quantum) physics to economics, and which forms a part of the larger subject of econophysics, is left for future research.’’ [8]

In their 2013 book Quantum Social Science, Emmanuel Haven and Andrei Khrennikov extended Baaquie’s work in finance, and showed how quantum techniques could be used to model a number of issues in economics more broadly, such as arbitrage and the reflexivity theory of George Soros. [9]

In a 2016 paper [10] and book [11] [12] (the latter co-authored with journalist Roman Chlupatý), the mathematician David Orrell proposed a quantum theory of money and value, which states that money has dualistic, quantum properties because of the way that it merges the exact concept of number with the fuzzy concept of value. His 2018 book Quantum Economics: The New Science of Money described a quantum economics which combined this view of money with the insights of quantum finance and quantum social science. [13] [14] In a 2019 article for the Bretton Woods Committee, Andrew Sheng wrote that “A quantum paradigm of finance and the economy is slowly emerging, and its nonlinear, complex nature may help the design of a future global economy and financial architecture ... Financial assets and virtual liabilities have quantum characteristics of entanglement with each other that are not yet fully understood." [15]


Just as quantum physics differs in fundamental ways from classical physics, quantum economics differs from neoclassical economics in a number of key respects.

Neoclassical economics is based on expected utility theory, which combines utility theory to model people’s preferences, and probability theory to model expectations under uncertainty. However the field of quantum cognition calls these assumptions into question, since people don’t necessarily have fixed preferences, or base their decisions on probability theory. Many of the findings of behavioral economics are inconsistent with classical logic, but agree with quantum decision theory of the sort assumed in quantum social science. [16]

In financial applications, neoclassical economics is associated with the efficient market theory. As Haven and Khrennikov show, this condition has come under increasing question since the financial crisis, but can easily be relaxed using a quantum formalism. [9]

Neoclassical economics assumes that people act independently while making economic decisions. Quantum economics notes that financial actors are part of an entangled system, as in quantum game theory.

Quantum economics also stresses the importance of financial transactions and in particular the role of money as an active force in the economy, for example in the way that it entangles debtors and creditors through loans. [11] Quantum economics can therefore be viewed as an alternative to neoclassical economics which begins from a different set of assumptions.

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Statistical physics is a branch of physics that uses methods of probability theory and statistics, and particularly the mathematical tools for dealing with large populations and approximations, in solving physical problems. It can describe a wide variety of fields with an inherently stochastic nature. Its applications include many problems in the fields of physics, biology, chemistry, neuroscience, and even some social sciences, such as sociology and linguistics. Its main purpose is to clarify the properties of matter in aggregate, in terms of physical laws governing atomic motion.

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Steve Keen Australian economist

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Mainstream economics is the body of knowledge, theories, and models of economics, as taught by universities worldwide, that are generally accepted by economists as a basis for discussion. Also known as orthodox economics, it can be contrasted to heterodox economics, which encompasses various schools or approaches that are only accepted by a minority of economists.

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David Orrell Canadian mathematician

David John Orrell is a Canadian writer and mathematician. He received his doctorate in mathematics from the University of Oxford. His work in the prediction of complex systems such as the weather, genetics and the economy has been featured in New Scientist, the Financial Times, Adbusters, BBC Radio, Russia-1, and CBC TV. He now conducts research and writes in the areas of systems biology and economics, and runs a mathematical consultancy Systems Forecasting. He is the son of theatre historian and English professor John Orrell.

The neoclassical synthesis, or the neoclassical–Keynesian synthesis, was a post-World War II academic movement in economics that worked towards absorbing the macroeconomic thought of John Maynard Keynes into neoclassical economics. The resultant macroeconomic theories and models are termed neo-Keynesian economics. Mainstream economics is largely dominated by the synthesis, being largely Keynesian in macroeconomics and neoclassical in microeconomics.

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Quantum finance is an interdisciplinary research field, applying theories and methods developed by quantum physicists and economists in order to solve problems in finance. It is a branch of econophysics.

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Quantum social science is an emerging field of interdisciplinary research which draws parallels between quantum physics and the social sciences. Although there is no settled consensus on a single approach, a unifying theme is that, while the social sciences have long modelled themselves on mechanistic science, they can learn much from quantum ideas such as complementarity and entanglement. Some authors are motivated by quantum mind theories that the brain, and therefore human interactions, are literally based on quantum processes, while others are more interested in taking advantage of the quantum toolkit to simulate social behaviours which elude classical treatment. Quantum ideas have been particularly influential in psychology, but are starting to affect other areas such as international relations and diplomacy in what one 2018 paper called a "quantum turn in the social sciences".


  1. Samuelson, Paul (1979). "A quantum theory model of economics: Is the co-ordinating entrepreneur just worth his profit?". The collected scientific papers of Paul A. Samuelson. 4. Cambridge, Mass.: MIT Press. pp. 104–110.
  2. "Manifesto". December 2011. Retrieved 29 March 2019.
  3. Qadir, Asghar (1978). "Quantum Economics". Pakistan Economic and Social Review. 16 (3/4): 117–126.
  4. Aerts, D.; Aerts, S. (1994). "Applications of quantum statistics in psychological studies of decision processes". Foundations of Science. 1: 85–97. doi:10.1007/BF00208726.
  5. Shubik, M. (1999). "Quantum economics, uncertainty and the optimal grid size". Economics Letters. 64 (3): 277–278. doi:10.1016/S0165-1765(99)00095-6.
  6. Schaden, Martin (2002). "Quantum Finance". Physica A: Statistical Mechanics and Its Applications. Physica A. 316 (1–4): 511–538. arXiv: physics/0203006 . doi:10.1016/S0378-4371(02)01200-1.
  7. Haven, Emmanuel (2002). "A discussion on embedding the Black–Scholes option pricing model in a quantum physics setting". Physica A: Statistical Mechanics and Its Applications. Physica A. 304 (3–4): 507–524. doi:10.1016/S0378-4371(01)00568-4.
  8. Baaquie, Belal E. (2007). Quantum Finance: Path Integrals and Hamiltonians for Options and Interest Rates. Cambridge University Press. ISBN   978-0521714785.
  9. 1 2 Haven, Emmanuel E.; Khrennikov, Andrei (2013). Quantum Social Science. Cambridge University Press. ISBN   978-1107012820.
  10. Orrell, David (2016). "A Quantum Theory of Money and Value". Economic Thought. 5 (2): 19–28.
  11. 1 2 Orrell, David; Chlupatý, Roman (2016). The Evolution of Money. Columbia University Press. pp. 171–175. ISBN   978-0231173728.
  12. Teese, Colin (11 February 2017). "Money and quantum physics". News Weekly .
  13. Orrell, David (2018). Quantum Economics: The New Science of Money. Icon Books. ISBN   978-1785783999.
  14. Clegg, Brian (5 July 2018). "Quantum Economics - David Orrell" . Retrieved 17 September 2018.
  15. Sheng, Andrew (July 2019). "A New Bretton Woods Vision for a Global Green New Deal". Revitalizing the Spirit of Bretton Woods: 50 Perspectives on the Future of the Global Economic System. Bretton Woods Committee. pp. 360–367.
  16. Wendt, Alexander (2015). Quantum Mind and Social Science: Unifying Physical and Social Ontology. Cambridge University Press. ISBN   978-1107082540.