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This Defense Intelligence Reference Document from the Defense Intelligence Agency, dated 10 December 2010, is one of a series of advanced technology reports produced in FY 2010 under the Advanced Aerospace Weapon System Applications (AAWSA) Program. It reviews quantum computing technologies and DNA-based molecular computing for onboard supercomputing on future spacecraft. It forecasts ion-trap quantum computers within 10 years, simple DNA tile computing within 20 years, and self-repairing DNA computers on a 40-year horizon.
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UNCLASSIFIED//F8R. 8fPH!lat tl.J[ OICE1 Figure 12 (continued). (top a-e) The XOR Cellular Automaton and Its Implementation by Tile-Based Self-Assembly. (bottom a-e) AFM Images of Algorithmic Self-assembly of Sierpinski Triangle Crystals. In theory, this process allows scientists the ability to build a computer from nanoscale material with DNA tiles (95). The experimental success of this trial demonstrated that 2D algorithmic self-assembly offers new capabilities for computation and construction, as well as a new range of physical phenomena and experimental challenges as well. Error Suppression Mechanisms in DNA Self-Assembly Molecular self-assembly is an emerging technology that will ultimately enable the fabrication of great quantities of complex nanoscale objects such as computer circuits at very low costs. Because the DNA-tile-based bottom-up assembly technique relies on the logic of programming self-assembly, it requires a situation where sticky-end binding specificity is infallible. Realistically, however, correctness of matching between tiles cannot be guaranteed due to the thermodynamics and kinetics of DNA tile self-assembly. This process alone results in occasional erroneous assembly steps. The number of assembly errors increases with the number of tile types, and accruing errors render large scale complex computation practically infeasible. Assembly errors can be classified into three types: 1.) Growth errors. 2.) Facet errors. 3.) Nucleation errors. Growth and facet errors are the errors that occur on the growth front of an existing assembly, while nucleation errors deal with the spurious initiation of assemblies. A growth error occurs when a DNA tile with one or more mismatched sticky ends is embedded in the assembly. A facet error occurs on the flat surface (facet) of the aggregate when two DNA tiles attach on a growth front (facet) side by side, and thus stabilize each other's binding. This is considered an error because the identity of these tiles may not be correct with respect to the computation being performed. Nucleation errors are similar to facet errors in that a number of tiles spontaneously assemble a cluster by stabilizing each other through 28 UNCLASSIFIED//EiOlil OEiEiIGIPk rr&li O•lk¥
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Report, from the dia collection. The PDF is mirrored here; the original link is above. 54 pages are in the text index: search them above, or from the library's search.