Title :
Quantum Boson-Sampling Machine
Author :
Yong Liu; Junjie Wu; Xun Yi
Author_Institution :
State Key Laboratory of High Performance Computing, National University of Defense Technology, Changsha, China
Abstract :
In the Post-Moore law era, Quantum computing, as a novel promising computing technology, is paid great attention to, since quantum algorithms are able to offer exponential speed-up over the classical ones. However, despite the various means for the implementation of a universal quantum computer, it´s desperately hard to build one. Fortunately, a computing model called Boson-Sampling is able to show the great power of quantum computing. The device that conducts the simulation process of Boson-Sampling based on quantum computing is called Quantum Boson-Sampling Machine (QBSM) while this simulation on a classical computer is intractable. In this paper, we introduce the boson-sampling process, analyze the difficulty of Boson-Sampling on classical computing, describe the advantages of Boson-Sampling, list the resent physical experiments that implemented QBSMs, and discuss the further research of Boson-Sampling.
Keywords :
"Photonics","Computers","Quantum computing","Computational modeling","Optical devices","Algorithm design and analysis","Optical fiber networks"
Conference_Titel :
Natural Computation (ICNC), 2015 11th International Conference on
Electronic_ISBN :
2157-9563
DOI :
10.1109/ICNC.2015.7378023