Quantum logic networks for cloning a quantum state near a given state

doi:10.1088/1674-1056/20/8/080305

Abstract Two quantum logic networks are proposed to simulate a cloning machine that copies the states near a given one. Probabilistic cloning based on the first network is realized and the cloning probability of success based on the second network is 100%. Therefore, the second network is more motivative than the first one.

Keywords: given state network quantum cloning

Received: 28 November 2010
Revised: 11 January 2011
Accepted manuscript online:

PACS:	03.67.-a	(Quantum information)
	42.50.Pq	(Cavity quantum electrodynamics; micromasers)

Cite this article:

Zhou Yan-Hui(周彦辉) Quantum logic networks for cloning a quantum state near a given state 2011 Chin. Phys. B 20 080305

[1]	Wootters W K and Zurek W H 1982 Nature 299 802
[2]	Duan L M and Guo G C 1998 Phys. Rev. Lett. 80 4999
[3]	Ricci M, Sciarrino F, Cerf N J, Filip R, Fiuracuteabrevesek J and Martini F D 2005 Phys. Rev. Lett. 95 090504
[4]	Scarani V, Iblisbir S and Gisin N 2005 Rev. Mod. Phys. 77 1225
[5]	Buvzek V and Hillery M 1996 Phys. Rev. A 54 1844
[6]	Bruss D, Cinchetti M, D'Ariano G M and Macchiavello C 2000 Phys. Rev. A 62 012302
[7]	Zhan Y B 2008 Chin. Phys. B 17 411
[8]	Yang R C, Li H C, Li X, Huang Z P and Xie H 2008 Chin. Phys. B bf 17 967
[9]	Dai J L and Zhang W H 2009 Chin. Phys. B bf 18 426
[10]	Zheng S B 2003 Chin. Phys. Lett. 20 325
[11]	Zhang D W, Shang X Q and Zhu A D 2008 Chin. Phys. Lett. 25 1954
[12]	Navez P and Cerf N J 2003 Phys. Rev. A 68 032313
[13]	Zou X B, Dong Y L and Guo G C 2006 Phys. Rev. A 74 032325
[14]	Xiao Y F, Zou X B and Guo G C 2007 Phys. Rev. A 75 054303
[15]	Nemoto K and Munro W J 2004 Phys. Rev. Lett. 93 250502
[16]	Zheng X J, Fang M F, Liao X P and Cai J W 2007 J. Phys. B 40 507
[17]	Buvzek V, Braunstein S L, Hillery M and Bruss D 1997 Phys. Rev. A 56 3446
[18]	Huang Y F, Li W L, Li C F, Zhang Y S, Yiang Y K and Guo G C 2001 Phys. Rev. A 64 012315
[19]	Shao X Q, Zhu A D, Zhang S, Chung J S and Yeon K H 2007 Phys. Rev. A 75 034307
[20]	Chen M L and Wang S J 2006 Acta Phys. Sin. 55 529 (in Chinese)

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Quantum logic networks for cloning a quantum state near a given state

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