Deterministic hierarchical remote state preparation of a two-qubit entangled state using Brown et al. state in a noisy environment

TL;DR

This paper presents a deterministic hierarchical remote state preparation protocol for two-qubit entangled states using a seven-qubit Brown et al. state, analyzing its robustness under amplitude and phase damping noise in noisy environments.

Contribution

It introduces a novel hierarchical RSP protocol utilizing a seven-qubit entangled state and evaluates its fidelity under realistic noise models, achieving record high fidelities.

Findings

Higher power receivers attain higher fidelity under noise.

Phase damping noise reduces fidelity more than amplitude damping.

Achieved fidelities of 0.89 (AD) and 0.72 (PD) in noisy environments.

Abstract

Quantum communication is one of the cutting-edge research areas today, where the scheme of Remote State Preparation (RSP) has caught significant attention of researchers. A number of different schemes of RSP have already been proposed so far. We propose here a hierarchical RSP protocol for sending a two-qubit entangled state using a seven-qubit highly entangled state derived from Brown et al. state. We have also studied here the effects of two well known noise models namely amplitude damping (AD) and phase damping (PD) that affect the quantum communication channel used for the protocol. An investigation on the variation of fidelity of the state with respect to the noise operator and the receiver is made. PD noise is found to affect the fidelity more than the AD noise and the higher power receiver, obtains the state with higher fidelity than the lower power receiver under the effect of noise. To the best of our knowledge, we believe that we have achieved the highest fidelity for the higher power receiver, 0.89 in the presence of maximum AD noise and 0.72 in the presence of maximum PD noise, compared to all the previously proposed RSP protocols in noisy environments. The study of noise is described in a very pedagogical manner for better understanding of the application of noise models to a communication protocol.