Evolutionary quantum game

Roland Kay, Neil F. Johnson, Simon C. Benjamin

Research output: Contribution to journalArticlepeer-review

45 Scopus citations

Abstract

We present a study of a dynamical quantum game. Each agent has a 'memory' of her performance over the previous m timesteps, and her strategy can evolve in time. The game exhibits distinct regimes of optimality. For small m the classical game performs better, while for intermediate m the relative performance depends on whether the source of qubits is 'corrupt'. For large m, the quantum players dramatically outperform the classical players by 'freezing' the game into high-performing attractors in which evolution ceases.

Original languageEnglish (US)
Pages (from-to)L547-L552
JournalJournal of Physics A: Mathematical and General
Volume34
Issue number41
DOIs
StatePublished - Oct 19 2001

ASJC Scopus subject areas

  • Statistical and Nonlinear Physics
  • Mathematical Physics
  • Physics and Astronomy(all)

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