Introduction to Quantum Game Theory: the Relevance of Betting

Introduction to Quantum Game Theory: the Relevance of Betting

Introduction to Quantum Game Theory: The relevance of betting Author: Armak Karimi Gonz´alez Facultat de F´ısica, Universitat de Barcelona, Diagonal 645, 08028 Barcelona, Spain.∗ Advisor: Miquel Montero Torralbo (Dated: June 18, 2020) Abstract: The goal of this paper is to study, on an invented quantum game, the relevance that betting different amounts has on the outcome of the game. Two different scenarios are laid out to find the best strategy for each player: when both players know everyting, and when one of them has lack of information. Finally, the same game is thought from the viewpoint of a gambling house, where this game is presented in front of a crowd of players, who may or may not be professionals. I. INTRODUCTION a game such that trying not to get a clear victory for Q is possible, and it will be done keeping the relevance of Game theory has been studied by many scientists dur- betting in mind. ing the last century. It is common to describe and under- stand complex concepts of this field using simple games. In many articles, such as [2] and [3], some traditional II. QUANTUM GAME well-known games have been studied, like the prisoner's dilemma among others. An orthonormal basis B = fj1i; j2ig can be defined, Based on the work of John von Neumann, the mathe- where j1i and j2i represents the winning state of player 1 matician David A. Meyer wrote paper [1], where a vari- (who is a quantum player) and player 2 (who is a classic ation of the traditional penny flipover game was intro- player), respectively. So any state can be represented as duced, involving a \quantum penny". 2 The traditional penny flipover game consists on a X j i = aijii; (1) penny placed head up and then three consecutive turns i=1 (player 1, then player 2, then player 1) flipping the penny 2 2 over or not, without being able to see what the other such that ja1j + ja2j = 1. player has done before. At the end of the game, player 1 wins if and only if the penny is still head up. Doing The two-player game presented consists in an alter- an easy probabilistic calculation, it can be seen that the nate sequence of turns in which it is compulsory to put probability that player 1 wins is exactly 1=2. a certain amount of money on the table, which allows Founded on the well-known television series Star Trek, the player to do a specific movement over the penny. Meyer posed a game between Q (a player with quantum Starting with the penny in a quantum superposition fair strategies) and Captain Picard (P, a player with tradi- (equiprobable) state tional classic moves). In this paper, Meyer showed that Q (player 1), playing an appropriate quantum strategy, 1 j i0 = p (j1i + j2i); (2) is always able to increase his expected payoff, in relation 2 to the case that both players can only play classically. Afterwards, other scientists wrote different variations in the first turn, player 1, after putting PQ (quantum on Meyer's paper. For instance, whereas in [1] both play- payment) on the table, is allowed to change the state of ers act on a single coin, in [2] the game consists on a pair the penny with a matrix rotation R(θ) such that of entangled coins so that there is a single state space for cos θ sin θ the pair of coins. However, in spite of all the variations R(θ) = ; θ 2 [−π; π]: (3) where the advantage of the quantum player was demon- sin θ − cos θ strated, the obligation to pay more in order to be able to make a better (quantum) movement has not been stud- This matrix can represent any rotation on the xy-plane in 2 ied enough, and it is not clear if, in that case, the game an anticlockwise way and satisfies that R (θ) = I (where −1 is still favourable for the quantum player. I represents the identity matrix), so R (θ) = R(θ). Inspired by the work of Meyer, it is known that if Q The way to flip a quantum penny classically is applying knows everything about the game, then Q can always the matrix Pauli σx over the state, which coincides with win. For this reason, the goal of this paper is to design σx = R(θ = π=2). To further understand the theory, an aside can be made at this point to prove easily what Meyer postulated in [1]. ∗Electronic address: [email protected] The game starts with the penny placed completely head Introduction to Quantum Game Theory: The relevance of betting Armak Karimi Gonz´alez 0 j j j up, that is in the winning state of player 1, so j i0 = j1i. of these Gi is calculated as follows: Gi =ProbjfjiigMT − i;j Then, three consecutive movements have to be applied M , where Probjfjiig is the modulus squared of the 0 B over the state j i0 in order to play the game. These j coefficient ai of the final state in choice j, M is all the movements can either be R(θ ) ◦ I ◦ R(θ ) if player 2 T 2 1 money put on the table at the end of option j, and M i;j does not flip over the penny, or R(θ ) ◦ σ ◦ R(θ ) if B 2 x 1 is only the money bet by player i in case j. player 2 does so. Meyer showed that Q (player 1) can Therefore, the earnings of player 1 can be calculated always win. That is because, in the first case, Q can as follows: choose θ = θ , since R(θ ) ◦ I ◦ R(θ ) = I 8θ ; and 2 1 1 1 1 in the second case, Q can choose θ2 = π=2 − θ1, which 1 G1 = (1 − p) (1 + sin(2θ))(PQ + PI ) − PQ satisfies that R(π=2−θ1)◦σx ◦R(θ1) = R(θ = 0), which, 2 0 0 in turn, fulfills that R(θ = 0)j i0 = j i0. Thus, if Q 1 does not know the action taken by the second player, Q +p (1 − sin(2θ))(PQ + PC + PI ) − (PQ + PI ) : (6) 2 can easily secure his victory playing with some θ1 such that π=2 − θ1 = θ1, that is θ1 = π=4. This means that Q Just from the definitions of the earnings G1 and G2, it is will play both turns with the matrix R(θ = π=4), which clear to see that G1 + G2 = 0. is also called as the Hadamard matrix. Hence, it has just been showed that whether or not player 2 flips the penny, player 1 is guaranteed a win. III. OPTIMAL STRATEGIES Continuing with the game that was being explained, A. Complete information in the second turn, player 2 can either pay the classic payment PC < PQ with probability p, in order to reverse The purpose of this section is to determine which rota- (flip over) classically the state of the penny (option A), tion player 1 has to do in order to win, that is G1 > G2 or pay PI (identity payment) with probability 1 − p, in or, equivalently, G1 > 0. This inequality depends on a order to stop the game and measure the final quantum value p0 defined as state (option B). Finally, only in the case that player PQ + PI 2 has paid PC (option A), there is a third turn, where p ≡ ; (7) 0 2(P + P ) + P player 1 has to pay PI mandatorily to stop the game and Q I C measure the final state. such that 0 < p0 ≤ 1=2, which is a restriction over the At the end of the game, as the penny can be in a su- probability p. perposition of states of B, there is a measure of the final quantum state in order to decide, according to the prob- (a) If p < p0, then G1 > G2 if and only if ability of winning of each player, who is the winner of P − P + p(2P − P ) the game and can take all the money bet on the table. sin(2θ) > Λ = Q I I C : (8) However, as developed below, this is equivalent to think- PQ + PI − p[2(PQ + PI ) + PC ] ing, in terms of the expected value of the earnings, that all the money bet on the table will be shared out among (b) If p > p0, then G1 > G2 if and only if sin(2θ) < Λ. both players, proportionally to the probability of winning (c) If p = p0, then G1 < G2 always. of each one of the final state. It can be observed that, in case (a), Λ should satisfy − − Following the rules of the game, player 1 will turn the Λ < 1, which is equivalent to p < p0 < p0, where p0 is defined as initial state j i0 into − PI 1 p0 ≡ : (9) j i1 = R(θ)j i0 = p [(sin θ+cos θ)j1i+(sin θ−cos θ)j2i]: 2PI + PQ 2 (4) Similarly, in case (b), Λ should satisfy Λ > −1, which is + + Afterwards, the final state can either be equivalent to p > p0 > p0, where p0 is defined as PQ A 1 p+ ≡ : (10) j i = σxj i1 = p [(sin θ − cos θ)j1i + (sin θ + cos θ)j2i] 0 f 2 PQ + PC (5) with probability p (in option A), or j iB = j i with f 1 Another way to determine which rotation is the best probability 1 − p (in option B).

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