Quantum Game Theory Based on the Schmidt Decomposition: Can Entanglement Resolve Dilemmas?

Physics – Quantum Physics

Scientific paper

Rate now

  [ 0.00 ] – not rated yet Voters 0   Comments 0

Details

40 pages, 9 figures, PlainTeX

Scientific paper

10.1088/1751-8113/41/13/135303

We present a novel formulation of quantum game theory based on the Schmidt decomposition, which has the merit that the entanglement of quantum strategies is manifestly quantified. We apply this formulation to 2-player, 2-strategy symmetric games and obtain a complete set of quantum Nash equilibria. Apart from those available with the maximal entanglement, these quantum Nash equilibria are extensions of the Nash equilibria in classical game theory. The phase structure of the equilibria is determined for all values of entanglement, and thereby the possibility of resolving the dilemmas by entanglement in the game of Chicken, the Battle of the Sexes, the Prisoners' Dilemma, and the Stag Hunt, is examined. We find that entanglement transforms these dilemmas with each other but cannot resolve them, except in the Stag Hunt game where the dilemma can be alleviated to a certain degree.

No associations

LandOfFree

Say what you really think

Search LandOfFree.com for scientists and scientific papers. Rate them and share your experience with other people.

Rating

Quantum Game Theory Based on the Schmidt Decomposition: Can Entanglement Resolve Dilemmas? does not yet have a rating. At this time, there are no reviews or comments for this scientific paper.

If you have personal experience with Quantum Game Theory Based on the Schmidt Decomposition: Can Entanglement Resolve Dilemmas?, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Quantum Game Theory Based on the Schmidt Decomposition: Can Entanglement Resolve Dilemmas? will most certainly appreciate the feedback.

Rate now

     

Profile ID: LFWR-SCP-O-196994

  Search
All data on this website is collected from public sources. Our data reflects the most accurate information available at the time of publication.