# Quality of joint remote preparation of an arbitrary two-qubit state   under the effect of noise

**Authors:** Thanh Dat Le, Van Hop Nguyen

arXiv: 1703.04976 · 2017-03-21

## TL;DR

This paper investigates methods to enhance the quality of joint remote state preparation of two-qubit states under noisy conditions by optimizing quantum channels and measurements, revealing two main optimization strategies.

## Contribution

It introduces two novel optimization approaches for improving fidelity in noisy joint remote state preparation protocols.

## Key findings

- Optimizing quantum channels and measurements improves fidelity under noise.
- Two distinct strategies effectively enhance protocol performance.
- Interactions with environments can increase fidelity despite noise.

## Abstract

We address the issue of improving the quality of the joint remote preparation of an arbitrary two-qubit in case four qubits of the quantum channel which consists of a GHZ state and a GHZ-like one are subjected to noises. Two controlling parameters are added, one in the quantum channel and other in the measurement of the second sender, in order to optimize the averaged fidelities. The results from analyzing the behaviors of the optimal averaged fidelities show that there are essentially two different ways for the optimization of the efficiency of the protocol. The first is simply choosing suitably the quantum channel as well as the measurement in which the desired fidelity can be found in large values of noisy parameters. The second is by means of interactions between qubits and dissipative environments whose result is more noises more fidelity.

## Full text

_Full body text omitted from this summary view._ Fetch the complete paper as Markdown: https://tomesphere.com/paper/1703.04976/full.md

## Figures

26 figures with captions in the complete paper: https://tomesphere.com/paper/1703.04976/full.md

## References

48 references — full list in the complete paper: https://tomesphere.com/paper/1703.04976/full.md

---
Source: https://tomesphere.com/paper/1703.04976