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Update marion.json

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  1. marion.json +0 -12
marion.json CHANGED
@@ -197,18 +197,6 @@
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  "target_page":4,
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  "target_passage":" The Partially Observable Markov Decision Process is a type of flexible generative model that is widely used in the AIF literature. In discrete time and usually a discrete state space, this model type is parametrised to fit a given task by a set matrices containing probability distributions."
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  },
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- {
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- "source_file":"1001.2313.pdf",
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- "query":"Cite promising material for quantum computers",
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- "target_page":1,
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- "target_passage":" Semiconductor nanostructures [1] are a promising host material for the realization of quantum computers [2] be cause of the well developed production technologies and because of the potential for scaling to multi qubit sys tems."
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- },
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- {
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- "source_file":"1001.2580.pdf",
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- "query":"To how many dimensions in the phase space a two-dimensional system is equivalent ? ",
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- "target_page":2,
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- "target_passage":"However, the quantum mechanical problem is much more difficult since the system is two-dimensional (equivalent to four dimensions in the phase space), and not integrable."
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- },
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  {
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  "source_file":"pubmed6_cc4.pdf",
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  "query":"What is dyspnea ?",
 
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  "target_page":4,
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  "target_passage":" The Partially Observable Markov Decision Process is a type of flexible generative model that is widely used in the AIF literature. In discrete time and usually a discrete state space, this model type is parametrised to fit a given task by a set matrices containing probability distributions."
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  },
 
 
 
 
 
 
 
 
 
 
 
 
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  {
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  "source_file":"pubmed6_cc4.pdf",
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  "query":"What is dyspnea ?",