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| Interesting. Using Wolfram Quantum Framework, this AME can be tested like this: 1/36 QuantumPartialTrace[ QuantumState[N@Flatten@AME46, 6]["Bipartition", #], {1}] == QuantumState["UniformMixture", 36] & /@... |
| &[Wolfram Notebook][1] [1]: https://www.wolframcloud.com/obj/dfd9629e-6d0a-44da-a1bb-0f3a4f60c95b |
| By default, only the first level of sub-circuits is shown; you can either flatten your operator with op["Flatten"] (or flatten just a few of them up to some given level op["Flatten", level]) or increase the level like this op["Diagram",... |
| QuantumCircuitOperator doesn't have options of its own. The "Diagram" property is calling the internal CircuitDraw function, you can get its exclusive options after filtering out some System options that it also takes: FilterRules[ ... |
| &[Wolfram Notebook][1] [1]: https://www.wolframcloud.com/obj/nikm/Published/Squdits.nb |
| &[Wolfram Notebook][1] [1]: https://www.wolframcloud.com/obj/nikm/Published/TimeEntanglement.nb |
| There is a private function that turns DecisionTree into Tree: ``` data=Table[x->Sin[x]+RandomVariate[NormalDistribution[0, .2]], {x, RandomReal[{-10, 10}, 400]}]; p=Predict[data,Method->"DecisionTree"]; ... |
| You may find it helpful. I've formulated the temporal version of the CHSH game in analogy to the spatial one, which I've studied here: https://community.wolfram.com/groups/-/m/t/3026423. It is mainly based on this paper:... |
| Channel compositions like `EvenNoise@OddNoise@EvenNoise` cumulatively increase underlying "trace" dimensionality. Just take a look at `TQStep["Operator"]`; its output has four 16-dimensional trace qudits, and the tensor already takes up 400Mb of... |
| But consistency is already there, WeightedAdjacencyMatrix is the same as AdjacencyMatrix for not weighted graphs, so seems like replacing AdjacencyMatrix with WeightedAdjacencyMatrix and AdjacencyGraph with WeightedAdjacencyGraph (after replacing 0... |