Semi-Loss-Tolerant Strong Coin Flipping Protocol Using EPR Pairs

TL;DR

This paper introduces a semi-loss-tolerant quantum strong coin flipping protocol using EPR pairs and quantum memory, achieving lower bias than previous protocols and analyzing the impact of losses on security and feasibility.

Contribution

The paper presents a novel semi-loss-tolerant protocol utilizing EPR pairs and quantum memory, reducing bias compared to prior loss-tolerant protocols.

Findings

Bias decreases as loss probability p decreases

Bias approaches 0.3536 when p approaches 0

Protocol is experimentally feasible

Abstract

In this paper, we present a quantum strong coin flipping protocol. In this protocol, an EPR pair and a quantum memory storage are made use of, and losses in the quantum communication channel and quantum memory storage are all analyzed. We obtain the bias in the fair scenario as a function of $p$, where $p$ is the probability that the particle in Bob's quantum memory storage is lost, which means our bias varies as the degree of losses in the quantum memory storage changes. Therefore we call our protocol semi-loss-tolerant. We also show that the bias decreases with decreasing $p$. When $p$ approaches 0, the bias approaches 0.3536, which is less than that of all the previous loss-tolerant protocols. Details of both parties' optimal cheating strategies are also given and analyzed. What's more, experimental feasibility is discussed and demonstrated. Compared with previous qubit-based loss-tolerant SCF protocols, we introduce the EPR pair to keep our protocol loss-tolerant while trying to push down the bias. In addition, a quantum memory storage is used and the losses in it has been taken into account. We obtain the bias in the fair scenario as a function of $p$, where $p$ is the probability that the particle in Bob's quantum memory storage is lost, which means our bias varies as the degree of losses in the quantum memory storage changes. We also show that the bias decreases with decreasing $p$. When $p$ approaches 0, the bias approaches 0.3536, which is less than that of all the previous loss-tolerant protocols. Details of both parties' optimal cheating strategies are also given and analyzed. Besides, experimental feasibility is discussed and demonstrated.