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Kelly betting with quantum payoff: a continuous variable approach

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  • Tirone, Salvatore
  • Ghio, Maddalena
  • Livieri, Giulia
  • Giovannetti, Vittorio
  • Marmi, Stefano

Abstract

The main purpose of this study is to introduce a semi-classical model describing betting scenarios in which, at variance with conventional approaches, the payoff of the gambler is encoded into the internal degrees of freedom of a quantum memory element. In our scheme, we assume that the invested capital is explicitly associated with the quantum analog of the free-energy (i.e. ergotropy functional by Allahverdyan, Balian, and Nieuwenhuizen) of a single mode of the electromagnetic radiation which, depending on the outcome of the betting, experiences attenuation or amplification processes which model losses and winning events. The resulting stochastic evolution of the quantum memory resembles the dynamics of random lasing which we characterize within the theoretical setting of Bosonic Gaussian channels. As in the classical Kelly Criterion for optimal betting, we define the asymptotic doubling rate of the model and identify the optimal gambling strategy for fixed odds and probabilities of winning. The performance of the model are hence studied as a function of the input capital state under the assumption that the latter belongs to the set of Gaussian density matrices (i.e. displaced, squeezed thermal Gibbs states) revealing that the best option for the gambler is to devote all their initial resources into coherent state amplitude.

Suggested Citation

  • Tirone, Salvatore & Ghio, Maddalena & Livieri, Giulia & Giovannetti, Vittorio & Marmi, Stefano, 2021. "Kelly betting with quantum payoff: a continuous variable approach," LSE Research Online Documents on Economics 123978, London School of Economics and Political Science, LSE Library.
  • Handle: RePEc:ehl:lserod:123978
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    File URL: http://eprints.lse.ac.uk/123978/
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    References listed on IDEAS

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    1. Robert Bell & Thomas M. Cover, 1988. "Game-Theoretic Optimal Portfolios," Management Science, INFORMS, vol. 34(6), pages 724-733, June.
    2. Matthew Nicol & Nikita Sidorov & David Broomhead, 2002. "On the Fine Structure of Stationary Measures in Systems Which Contract-on-Average," Journal of Theoretical Probability, Springer, vol. 15(3), pages 715-730, July.
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    JEL classification:

    • C1 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General

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