Nano Computing and The Future of Silicon Essay -- optical computing, d

We are coming to the end of advancement in traditionalisticistic te-based computation therefore we should utilize non-traditional silicon. While there are new(prenominal) alternatives, currently none of them are commercially available or highly-developed in any realistically usable way like silicon is. Currently we have been able to successfully prototype a course of methods for non-traditional silicon based technologies such as 3D chip stacking and multi-core processor design. This paper pull up stakes discuss the benefits of utilizing non-traditional silicon and how the other solutions to the end of traditional silicon are not developed to the point of being a real solution. The other solutions are DNA computing, Optical computing, Molecular computing, and Quantum computing. on that point are limitations with these solutions even before being commercially available. For instance, current maturation of DNA computation is not going to go our problem, because it is so dear ly-won and you have to pay someone to program the DNA so it buttocks grow into what it needs to be. Optical computing wont solve the issue because it has some major disadvantages such as cost, size, alignment precision, thermal stability, fabrication, lack of design software for creation, and the need for ultra low voltages (Optical Computers). additionally Mark Ratner, a chemist at conjugationwestern University, who is generally regarded as one of the grandfathers of the field, doubts molecules will ever compete directly with silicon in complex computational tasks making molecular computation not necessitate (Rotman). Quantum computing will not solve the current issue because no one knows yet how long a true Quantum computer will take to develop or how many functions it will accurately fare early o... ...ense Tech RSS. Military.com, 17 Mar. 2014. . the contractor purchased a Optical Computers. UNCW. University of North Carolina Wilmington, n.d. . an optical computer is a Pre skill, John. Quantum Computing Pro and Con.Http//www.theory.caltech.edu/. California lend of Technology, n.d. 1998. . Quantum computers will be too expensive. Ramanathan, R. M. Intel Multi-Core Processors. Pogolinux. Intel, n.d. .Seffers, George I. National Security Drives Quantum Computer Research. direct Magazine. SIGNAL Online, Oct. 2010. . No one knows yet what a working quantum