Generalized Remote Preparation of Arbitrary m-qubit Entangled States via Genuine Entanglements
Herein, we present a feasible, general protocol for quantum communication within a network via generalized remote preparation of an arbitrary m-qubit entangled state designed with genuine tripartite Greenberger–Horne–Zeilinger-type entangled resources. During the implementations, we construct novel collective unitary operations; these operations are tasked with performing the necessary phase transfers during remote state preparations. We have distilled our implementation methods into a five-step procedure, which can be used to faithfully recover the desired state during transfer. Compared to previous existing schemes, our methodology features a greatly increased success probability. After the consumption of auxiliary qubits and the performance of collective unitary operations, the probability of successful state transfer is increased four-fold and eight-fold for arbitrary two- and three-qubit entanglements when compared to other methods within the literature, respectively. We conclude this paper with a discussion of the presented scheme for state preparation, including: success probabilities, reducibility and generalizability.
Other Information
Published in: Entropy
License: https://creativecommons.org/licenses/by/4.0/
See article on publisher's website: https://dx.doi.org/10.3390/e17041755
Funding
National Natural Science Foundation of China (11247256), Road noise nonlocal quantum logic gates to achieve.
National Natural Science Foundation of China (11074002), A combination of cavity quantum electrodynamics and linear optics quantum cloning.
National Natural Science Foundation of China (61275119), DISTRIBUTED QUANTUM CALCULATION BASED ON CELL QED AND ITS RELATED PROBLEMS.
Anhui Provincial Natural Science Foundation (1508085QF139).
China Scholarship Council and the National Laboratory for Infrared Physics (M201307).
National Science Foundation Centers for Chemical Innovation (CHE-1037992).
History
Language
- English
Publisher
MDPIPublication Year
- 2015
License statement
This Item is licensed under the Creative Commons Attribution 4.0 International License.Institution affiliated with
- Hamad Bin Khalifa University
- Qatar Environment and Energy Research Institute - HBKU