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This Defense Intelligence Reference Document, dated 10 December 2010, was prepared by the Defense Intelligence Agency's Defense Warning Office under the Advanced Aerospace Weapon System Applications program. It examines quantum computing and DNA-based molecular computing as options for onboard supercomputing in future spaceflight. It forecasts working ion trap quantum computers within 10 years, simple DNA tile computing within 20 years, and self-repairing DNA computers and hybrid quantum dot systems on a 40-year horizon.
From the source:Release of 2026-09-18 Incident: 12/10/10, Las Vegas, Nevada. Released with redactions. This document is a Defense Intelligence Reference Document (DIRD), a technical reference format used by the Defense Intelligence Agency (DIA) to capture baseline knowledge on a specific topic for later analytic use. DIRDs are best understood as reference and synthesis products rather than as original research. It is one of 38 DIRDs produced under the Advanced Aerospace Weapon System Applications Program (AAWSAP) between 2009 and 2011. Because AAWSAP’s scope permitted a broad range of supporting topics, not every DIRD in the series directly concerns aerospace systems or future threat assessment. The following summary reflects the DIRD’s scope and framing at the time of writing and should not be read as implying current validation of the concepts discussed. This DIRD surveys advanced computing concepts for future space and automation applications, focusing on quantum and molecular (DNA-based) computing as potential alternatives to conventional silicon electronics. The report introduces quantum computing principles alongside DNA-based logic gates, self-assembly, and nanoscale repair mechanisms, arguing that these unconventional architectures might eventually offer advantages in radiation tolerance, physical robustness, and specialized onboard processing for space-based platforms. It notes that near-term practical barriers remain substantial. Quantum systems continue to depend on complex cryogenics, shielding, and unsolved reliability challenges, while DNA-based computing remains a far-future concept rather than a viable alternative to general-purpose processors. Overall, the document presents both frameworks as long-term possibilities to complement, rather than immediately replace proven space-qualified electronics. It concludes that the stronger, nearer-term cases for such architectures are in highly specialized or hybrid roles rather than in fully mature general-purpose onboard computing applications.
UNCLASSIFIED/ /FOA 8FFI€iIAL ttSI!! Brit I binding. This then seeds ordinary, but meaningless computation. Growth errors, facet errors, and nucleation errors all occur because of tiles that make only weak contacts with the assembly (Figure 15). These erroneous tiles must fall off in order for correct growth to proceed. One approach is to design the lattice such that each tile is first stabilized by the arrival of another tile before it secures itself in place. Prior analysis predicted that the error rates of tile assembly can be reduced by optim izing physical parameters such as tile concentrations and temperature. In order to suppress different types of errors, several methods have been proposed based on the idea of increasin g the amount of time required to lock in erroneously assembled tiles. In order to min imize the errors, several methods have been proposed. Unfortunately, some of these methods cannot effectively suppress all types of errors. For example, the tile proof reading model first proposed by Winfree and Bekbolatov (96) can correct errors in growth if an incorrect tile attaches in the next position. This error correction technique uses redundancy to correct errors. In this method, each tile is replaced in the system with four tiles, arranged in a 2 X 2 block. The compact resilient tile model as proposed by Reif (97) attempts to reduce the increase in scale of the final pattern produced by self-assembly. While both of these methods are effective in reducing errors, they are only lim ited to those errors produced by growth. However, the error suppression models Protected Tile Mechanism (PTM) and Layered Tile Mechanism (LTM) proposed by Fujibayashi and Murata can suppress all three error types illustrated in Figure 15. (98)(99). The functional method of suppression in these models is the control of sticky end hybridization. In these mechanisms the implementation of the DNA tiles is altered by the introduction of a structural motif protection strand and protection tiles (see Figure 13 and Figure 14 ). In this technique, the protection strand is a single oligomer that covers the input side of the tile. Each sticky end remains uncovered and it works as the toehold for initiating a branch migration process that removes the protection strand . The combination of a tile and a protection strand is called a "protected tile," or just "tile" when it is clear from context, and "foundation tile" refers to the unprotected foundation tile. The output sides of all t iles are unprotected, thus the growth front always displays unprotected sticky ends. As seen in Figure 13 the protected tiles associate to the growth front by the exposed 3-nt sticky ends first, then branch migration results in strand displacement on each of the matching input arms; if both arms are matched, the protection strand is completely displaced, and it dissociates. In Figure 14, this method undergoes Monte Carlo simulation to evaluate its suppressive properties. Surprisingly, it was discovered that the PTM and LTM suppression methods can prevent nucleation errors as well as growth and facet errors. UNCLASSIFIED// FOR OFFICIAL ttSf 8Ptk¥ 29
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Official release, from the pursue 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.