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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/ /EOA QFFl&Il.l l::181: 8HtY temperature, some materials such as copper form a lattice that allows electrons to pair and flow as a bosonic charged (2e) particle. The components of superconducting circuits can be fabricated with current technology; however, decoherence times are limited to several microseconds maximum due to the large size (100 micrometers) of the circu it elements and thus large number of charge carriers in a qubit device ( ~10 10 ). Additionally, the current qubit device designs only operate at the scale of l0's of mK. Superconducting elements, specifically Josephson junctions, may play a role in hybrid designs such as the distributed ion traps of Haffner (81), but are currently not seen as a stand-alone technology for quantum computation. DNA-BASED DESIGNS FOR MOLECULAR COMPUTERS While traditional silicon-based circuits reach their fundamental atomic limitation, researchers search for alternative mediums for computation. The most logical solution to overcome this restriction in silicon-based integrated circuit architectures resides within our own bodies, deoxyribonucleic acid (DNA). Living organisms also carry out complex physical processes under the direction of digital information. Biochemical reactions and ultimately an entire organism's operation are ruled by instructions stored in its genome, encoded in sequences of nucleic acids. When the workings of bimolecular machines inside cells that process DNA and RNA are compared to Turing's machine, striking similarities emerge: both systems process information stored in a string of symbols taken from a fixed alphabet, and both operate by moving step by step along those strings, modifying or adding symbols according to a given set of rules. Set strand 'Open ' 'Closed' rUnset strand Figure 9. A DNA nanomachine driven by repeated sequential addition of DNA control strands (82). DNA Background Watson and Crick may have never realized the full potential of the double helical structure they identified nearly 60 years ago, (83) for little was known about this amazing molecule that harnesses life. Biochemists in the late nineteenth century had found that these nucleic acids, long-chain polymers of nucleotides, were made up of sugar, phosphoric acid, and UNCLASSIFIED/ /FQA QFFIEIAk Wlii QNk¥ 23
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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.