Skip to main content
Log in

Evolutionarily stable sets in quantum penny flip games

  • Published:
Quantum Information Processing Aims and scope Submit manuscript

Abstract

In game theory, an Evolutionarily Stable Set (ES set) is a set of Nash Equilibrium (NE) strategies that give the same payoffs. Similar to an Evolutionarily Stable Strategy (ES strategy), an ES set is also a strict NE. This work investigates the evolutionary stability of classical and quantum strategies in the quantum penny flip games. In particular, we developed an evolutionary game theory model to conduct a series of simulations where a population of mixed classical strategies from the ES set of the game were invaded by quantum strategies. We found that when only one of the two players’ mixed classical strategies were invaded, the results were different. In one case, due to the interference phenomenon of superposition, quantum strategies provided more payoff, hence successfully replaced the mixed classical strategies in the ES set. In the other case, the mixed classical strategies were able to sustain the invasion of quantum strategies and remained in the ES set. Moreover, when both players’ mixed classical strategies were invaded by quantum strategies, a new quantum ES set was emerged. The strategies in the quantum ES set give both players payoff 0, which is the same as the payoff of the strategies in the mixed classical ES set of this game.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Fig. 1
Fig. 2
Fig. 3
Fig. 4
Fig. 5
Fig. 6
Fig. 7
Fig. 8
Fig. 9
Fig. 10
Fig. 11
Fig. 12
Fig. 13
Fig. 14

Similar content being viewed by others

Notes

  1. Quantization here refers to “deriving a quantum version of a classical algorithm”, which is different from “the process of converting analog to digital signals” that is more popular in the wider scientific community.

  2. The \(\bar{a}\) defines complex conjugate of \(a\).

  3. The \(\dagger \) notion defines Hermitian conjugate.

References

  1. Dirac, P.A.M.: Quantum Mechanics. Clarendon Press, Oxford (1958)

    MATH  Google Scholar 

  2. Eisert, J., Wilkens, M., Lewenstein, M.: Quantum games and quantum strategies. Phys. Rev. Lett. 83(15), 3077–3080 (1999)

    Article  MathSciNet  ADS  MATH  Google Scholar 

  3. Flitney, A.P., Abbott, D.: Quantum version of the Monty Hall problem. Phys. Rev. A 65, 062381 (2002)

    Article  Google Scholar 

  4. Hofbauer, J., Sigmund, K.: The Theory of Evolution and Dynamical Systems. Cambridge University Press, Cambridge (1988)

    MATH  Google Scholar 

  5. Holland, J.H.: Adaptation in Natural and Artificial Systems. MIT Press, Cambridge (1975)

    Google Scholar 

  6. Iqbal, A., Toor, A.H.: Evolutionarily stable strategies in quantum games. Phys. Lett. A 280(5–6), 249–256 (2001)

    Article  MathSciNet  ADS  MATH  Google Scholar 

  7. Kay, R., Johnson, N.F., Benjamin, S.C.: Evolutionary quantum game. J. Phys. A Math. Gen. 34, L547–552 (2001)

    Article  MathSciNet  ADS  MATH  Google Scholar 

  8. Marinatto, L., Weber, T.: A quantum approach to static games of complete information. Phys. Lett. A 272, 291–303 (2000)

    Article  MathSciNet  ADS  MATH  Google Scholar 

  9. Maynard Smith, J.: Evolution and the Theory of Games. Cambridge University Press, Cambridge (1982).

  10. Meyer, D.A.: Quantum strategies. Phys. Rev. Lett. 82, 1052 (1999)

    Article  MathSciNet  ADS  MATH  Google Scholar 

  11. Miszczak, J.A., Gawron, P., Puchala, Z.: Qubit flip game on a Heisenberg spin chain. Quantum Inf, Process (2011)

    Google Scholar 

  12. Nash, J.F.: Equilibrium points in N-person games. In. Proceedings of the National Academy of Sciences USA, 36, 48–49 (1950)

    Article  MathSciNet  ADS  MATH  Google Scholar 

  13. Nawaz, A., Toor, A.H.: Evolutionarily stable strategies in quantum Hawk-Dove game. Chin. Phys. Lett. 27(5) (2010).

  14. Nielsen, M., Chuang, I.: Quantum Computation and Quantum Information:10th Anniversary Edition. Cambridge University Press, Cambridge (2011)

    Google Scholar 

  15. Thomas, B.: On evolutionarily stable sets. J. Math. Biol. 22, 105–115 (1985)

    Article  MathSciNet  MATH  Google Scholar 

  16. von Neumann, J.: Mathematical Foundations of Quantum Theory. Princeton University Press, Princeton (1955)

    Google Scholar 

  17. von Neumann, J., Morgenstern, O.: Theory of Games and Economic Behavior, 3rd edn. Princeton University Press, Princeton (1953)

    MATH  Google Scholar 

  18. Zurek, W.H.: Quantum Darwinism. Nat. Phys. 181–188 (2009).

Download references

Acknowledgments

Tina Yu would like to thank Institute of Physics, Academia Sinica, Nankang, Taipei, Taiwan for their support during her visit working on the paper.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Tina Yu.

Rights and permissions

Reprints and permissions

About this article

Cite this article

Yu, T., Ben-Av, R. Evolutionarily stable sets in quantum penny flip games. Quantum Inf Process 12, 2143–2165 (2013). https://doi.org/10.1007/s11128-012-0515-3

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s11128-012-0515-3

Keywords

Navigation