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

We be glide path to the end of advancement in traditional silicon-based computation therefore we should go for non-traditional silicon. While there argon other alternatives, currently n cardinal of them are commercially avail equal or developed in any realistically usable way like silicon is. Currently we have been able to successfully prototype a variety of methods for non-traditional silicon based technologies much(prenominal) as 3D chip stacking and multi-core processor design. This paper will address 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. There are limitations with these solutions even originally being commercially available. For instance, current development of DNA computation is not going to solve our problem, because it is so expensive and y ou have to pay psyche to program the DNA so it can grow into what it needs to be. Optical computing wont solve the issue because it has some major(ip) disadvantages such as cost, size, alignment precision, thermal stability, fabrication, lack of design software system for creation, and the need for ultra low voltages (Optical Computers). Additionally Mark Ratner, a apothecary at Northwestern University, who is generally regarded as one of the grandfathers of the field, doubts molecules will eer compete directly with silicon in complex computational tasks make molecular computation not needed (Rotman). Quantum computing will not solve the current issue because no one knows yet how dour a true Quantum computer will take to develop or how many functions it will accurately perform 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 Preskill, John. Qu antum Computing Pro and Con.Http//www.theory.caltech.edu/. California Institute of Technology, n.d. 1998. . Quantum computers will be in addition expensive. Ramanathan, R. M. Intel Multi-Core Processors. Pogolinux. Intel, n.d. .Seffers, George I. National Security Drives Quantum Computer Research. SIGNAL Magazine. SIGNAL Online, Oct. 2010. . No one knows yet what a working quantum