Splitting unknown two-qubit pure or mixed state via one-dimensional six-qubit cluster state

2013 ◽  
Vol 293 ◽  
pp. 166-171 ◽  
Author(s):  
Wen Zhang ◽  
Kuang-wei Xiong ◽  
Xue-qin Zuo ◽  
Zi-yun Zhang
2012 ◽  
Vol 10 (02) ◽  
pp. 1250022 ◽  
Author(s):  
GUO-QIANG HUANG ◽  
CUI-LAN LUO

Two schemes for controlled dense coding with a one-dimensional four-particle cluster state are investigated. In this protocol, the supervisor (Cliff) can control the channel and the average amount of information transmitted from the sender (Alice) to the receiver (Bob) by adjusting the local measurement angle θ. It is shown that the results for the average amounts of information are unique from the different two schemes.


2014 ◽  
Vol 20 (1) ◽  
pp. 46-50
Author(s):  
赵英燕 ZHAO Ying-yan ◽  
高贵龙 GAO Gui-long ◽  
唐龙英 TANG Long-ying ◽  
姜年权 JIANG Nian-quan

2010 ◽  
Vol 283 (9) ◽  
pp. 1979-1983 ◽  
Author(s):  
Yong He ◽  
Nian-Quan Jiang ◽  
Yong-Yun Ji

2017 ◽  
Vol 17 (15&16) ◽  
pp. 1372-1397
Author(s):  
Nairi Usher ◽  
Dan E. Browne

Measurement-Based Quantum Computing (MBQC) is an alternative to the quantum circuit model, whereby the computation proceeds via measurements on an entangled resource state. Noise processes are a major experimental challenge to the construction of a quantum computer. Here, we investigate how noise processes affecting physical states affect the performed computation by considering MBQC on a one-dimensional cluster state. This allows us to break down the computation in a sequence of building blocks and map physical errors to logical errors. Next, we extend the Matrix Product State construction to mixed states (which is known as Matrix Product Operators) and once again map the effect of physical noise to logical noise acting within the correlation space. This approach allows us to consider more general errors than the conventional Pauli errors, and could be used in order to simulate noisy quantum computation.


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