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nikman said:Let me just toss out this mishmash of material because I happen to be aware of it. The last stuff (Brukner and Kofler) is from Zeilinger's group obviously. Diederik Aerts is a very interesting guy, knew John Bell well when he (Aerts) was a young post-doc at Geneva, and conducted workshops with Alain Aspect at the time Aspect was setting up his first experiment.
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John C. Baez and Mike Stay:
Physics, Topology, Logic and Computation:
A Rosetta Stone
Category theory is a very general formalism, but there is a certain special way that physicists use categories which turns out to have close analogues in topology, logic and computation. A category has objects and morphisms, which represent things and ways to go between things. In physics, the objects are often physical systems, and the morphisms are processes turning a state of one physical system into a state of another system -- perhaps the same one. In quantum physics we often formalize this by taking Hilbert spaces as objects, and linear operators as morphisms.
http://math.ucr.edu/home/baez/rosetta.pdf
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Diederik Aerts and Marek Czachor:
Cartoon Computation: Quantum-like computing without
quantum mechanics
We present a computational framework based on geometric structures. No quantum mechanics is involved, and yet the algorithms perform tasks analogous to quantum computation. Tensor products and entangled states are not needed — they are replaced by sets of basic shapes. To test the formalism we solve in geometric terms the Deutsch-Jozsa problem, historically the first example that demonstrated the potential power of quantum computation. Each step of the algorithm has a clear geometric interpetation and allows for a cartoon representation.
http://tinyurl.com/bjvsds
slightly different version:
http://arxiv.org/pdf/quant-ph/0611279v2
and:
Quantum Aspects of Semantic Analysis and Symbolic Artificial Intelligence
Modern approaches to semanic analysis if reformulated as Hilbert-space problems reveal formal structures known from quantum mechanics. Similar situation is found in distributed representations of cognitive structures developed for the purposes of neural networks. We take a closer look at similarites and differences between the above two fields and quantum information theory.
http://arxiv.org/pdf/quant-ph/0309022v4
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Časlav Brukner & Johannes Kofler
Classical world arising out of quantum physics under the restriction of coarse-grained measurements
Conceptually different from the decoherence program, we present a novel theoretical approach to macroscopic realism and classical physics within quantum theory. It focuses on the limits of observability of quantum effects of macroscopic objects, i.e., on the required precision of our measurement apparatuses such that quantum phenomena can still be observed. First, we demonstrate that for unrestricted measurement accuracy no classical description is possible for arbitrarily large systems. Then we show for a certain time evolution that under coarse-grained measurements not only macrorealism but even the classical Newtonian laws emerge out of the Schrödinger equation and the projection postulate.
http://arxiv.org/pdf/quant-ph/0609079v3
Essentially the same material but adapted from a PowerPoint presentation. Pretty cool:
http://www.fjfi.cvut.cz/workshop/Workshop_Prague_2008/presentations/Brukner_measurements.pdf
Thanks for these references. They showed me (in a shocking way) what little is known about interpreting quantum physics in terms of information.
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