6533b7d2fe1ef96bd125e10c

RESEARCH PRODUCT

Two-Qubit Pure Entanglement as Optimal Social Welfare Resource in Bayesian Game

Tamal GuhaAmit MukherjeeManik BanikAshutosh RaiAshutosh RaiAshutosh RaiNirman GangulyArup RoySome Sankar Bhattacharya

subject

Quantum PhysicsComputer Science::Computer Science and Game TheoryPhysics and Astronomy (miscellaneous)Computer scienceFOS: Physical sciencesQuantum entanglementState (functional analysis)01 natural scienceslcsh:QC1-999Atomic and Molecular Physics and Optics010305 fluids & plasmasBayesian gameQuantum stateQubit0103 physical sciencesQuantum informationQuantum Physics (quant-ph)010306 general physicsAdvice (complexity)Mathematical economicsQuantumlcsh:Physics

description

Entanglement is of paramount importance in quantum information theory. Its supremacy over classical correlations has been demonstrated in numerous information theoretic protocols. Here we study possible adequacy of quantum entanglement in Bayesian game theory, particularly in social welfare solution (SWS), a strategy which the players follow to maximize the sum of their payoffs. Given a multi-partite quantum state as an advice, players can come up with several correlated strategies by performing local measurements on their parts of the quantum state. A quantum strategy is called quantum-SWS if it is advantageous over a classical equilibrium (CE) strategy in the sense that none of the players has to sacrifice their CE-payoff rather some have incentive and at the same time it maximizes the sum of all players' payoffs over all possible quantum advantageous strategies. Quantum state yielding such a quantum-SWS is called a quantum social welfare advice (SWA). We show that any two-qubit pure entangled state, even if it is arbitrarily close to a product state, can serve as quantum-SWA in some Bayesian game. Our result, thus, gives cognizance to the fact that every two-qubit pure entanglement is the best resource for some operational task.

https://doi.org/10.22331/q-2019-09-09-185