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Defense Intelligence Reference Document Quantum Computing And Utilizing Organic Molecules In Automation Technology

Defense Intelligence Agency · 54 pages · text from the file's own layer

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.

  • p. 2 …a series of advanced technology reports produced in FY 2010 under the Defense Intelligence Agency,l…
  • p. 6 …However, the amount of active work in the field makes a disruptive advance likely in the…
  • p. 8 …The read, action, advance tape loop is repeated until the program ends.(1) Any calculation a…
  • p. 22 …SUMMARY OF ADDITIONAL INORGANIC TECHNOLOGIES The advancement of quantum computing schemes is the subject of significant…
  • p. 25 …The ease in sequencing DNA based on the Sanger technique, which today has evolved into advanced…
  • p. 46 …However, the amount of active work in the field makes a disruptive advance likely in the…
  • p. 47 …On the 40-year horizon four major advances in space-ready technology will be seen: devices…
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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 circuit 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 !O'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'
\
Waste
\ ( 'Closed'
Unset 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
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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.