Negative binary arithmetic algorithms for digital parallel optical computation

1994 ◽  
Vol 19 (17) ◽  
pp. 1337 ◽  
Author(s):  
Guogiang Li ◽  
Liren Liu ◽  
Lan Shao ◽  
Zhijiang Wang
Author(s):  
E.D. Di Claudio ◽  
G. Orlandi ◽  
F. Piazza
Keyword(s):  

1988 ◽  
Vol 32 (6) ◽  
pp. 717-726 ◽  
Author(s):  
W. B. Pennebaker ◽  
J. L. Mitchell ◽  
G. G. Langdon ◽  
R. B. Arps

2021 ◽  
Author(s):  
Shunjun Qian ◽  
Yendo Hu ◽  
Yiliang Wu ◽  
Weijie Yang ◽  
Xue Bai ◽  
...  

Nanophotonics ◽  
2017 ◽  
Vol 6 (3) ◽  
pp. 507-530 ◽  
Author(s):  
Joe Touch ◽  
Yinwen Cao ◽  
Morteza Ziyadi ◽  
Ahmed Almaiman ◽  
Amirhossein Mohajerin-Ariaei ◽  
...  

AbstractOptical computing is needed to support Tb/s in-network processing in a way that unifies communication and computation using a single data representation that supports in-transit network packet processing, security, and big data filtering. Support for optical computation of this sort requires leveraging the native properties of optical wave mixing to enable computation and switching for programmability. As a consequence, data must be encoded digitally as phase (M-PSK), semantics-preserving regeneration is the key to high-order computation, and data processing at Tb/s rates requires mixing. Experiments have demonstrated viable approaches to phase squeezing and power restoration. This work led our team to develop the first serial, optical Internet hop-count decrement, and to design and simulate optical circuits for calculating the Internet checksum and multiplexing Internet packets. The current exploration focuses on limited-lookback computational models to reduce the need for permanent storage and hybrid nanophotonic circuits that combine phase-aligned comb sources, non-linear mixing, and switching on the same substrate to avoid the macroscopic effects that hamper benchtop prototypes.


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