机构:
Los Alamos Natl Lab, Los Alamos, NM 87545 USALos Alamos Natl Lab, Los Alamos, NM 87545 USA
Yard, Jon
[1
]
机构:
[1] Los Alamos Natl Lab, Los Alamos, NM 87545 USA
来源:
2012 CONFERENCE ON LASERS AND ELECTRO-OPTICS (CLEO)
|
2012年
关键词:
COMMUNICATION;
D O I:
暂无
中图分类号:
TM [电工技术];
TN [电子技术、通信技术];
学科分类号:
0808 ;
0809 ;
摘要:
Channel capacities measure the ultimate communication abilities of noisy channels. I discuss capacities for optical channels with Gaussian noise and show the capacity for quantum information has surprising aspects that could be probed experimentally.
机构:
Louisiana State Univ, Hearne Inst Theoret Phys, Baton Rouge, LA 70803 USA
Louisiana State Univ, Dept Phys & Astron, Baton Rouge, LA 70803 USALouisiana State Univ, Hearne Inst Theoret Phys, Baton Rouge, LA 70803 USA
Qi, Haoyu
Wilde, Mark M.
论文数: 0引用数: 0
h-index: 0
机构:
Louisiana State Univ, Dept Phys & Astron, Hearne Inst Theoret Phys, Baton Rouge, LA 70803 USA
Louisiana State Univ, Ctr Computat & Technol, Baton Rouge, LA 70803 USALouisiana State Univ, Hearne Inst Theoret Phys, Baton Rouge, LA 70803 USA
机构:
Univ Calif Santa Barbara, Dept Math, Santa Barbara, CA 93106 USAUniv Calif Santa Barbara, Dept Math, Santa Barbara, CA 93106 USA
Cui, Shawn X.
Ji, Zhengfeng
论文数: 0引用数: 0
h-index: 0
机构:
Univ Technol Sydney, Fac Engn & Informat Technol, Sch Software, Ctr Quantum Computat & Intelligent Syst, Sydney, NSW 2007, Australia
Univ Waterloo, Inst Quantum Comp, Waterloo, ON N2L 3G1, CanadaUniv Calif Santa Barbara, Dept Math, Santa Barbara, CA 93106 USA
Ji, Zhengfeng
Yu, Nengkun
论文数: 0引用数: 0
h-index: 0
机构:
Univ Waterloo, Inst Quantum Comp, Waterloo, ON N2L 3G1, Canada
Univ Guelph, Dept Math & Stat, Guelph, ON N1G 2W1, CanadaUniv Calif Santa Barbara, Dept Math, Santa Barbara, CA 93106 USA
Yu, Nengkun
Zeng, Bei
论文数: 0引用数: 0
h-index: 0
机构:
Univ Waterloo, Inst Quantum Comp, Waterloo, ON N2L 3G1, Canada
Univ Guelph, Dept Math & Stat, Guelph, ON N1G 2W1, Canada
Canadian Inst Adv Res, Toronto, ON M5G 1Z8, CanadaUniv Calif Santa Barbara, Dept Math, Santa Barbara, CA 93106 USA
Zeng, Bei
2016 IEEE INTERNATIONAL SYMPOSIUM ON INFORMATION THEORY,
2016,
: 1685
-
1689