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| &[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... |
| ![enter image description here][1] &[Wolfram Notebook][2] [1]: https://community.wolfram.com//c/portal/getImageAttachment?filename=1820Leadimage.png&userId=20103 [2]:... |
| I don't think you can reconstruct this rotation matrix from RX, RY, and RZ because Pauli matrices do not commute. This should correspond to the `bRotate1`: bRotate3[\[Theta]_, n_] := Normal@Exp[ Total@MapThread[-I #2 \[Theta]/2... |
| We have documentation on different states in the Details&Options section of https://resources.wolframcloud.com/PacletRepository/resources/Wolfram/QuantumFramework/ref/QuantumState.html ![enter image description here][1] [1]:... |
| &[Wolfram Notebook][1] [1]: https://www.wolframcloud.com/obj/81425f10-1f2d-4705-9ed0-81a01230a6a8 |
| ![enter image description here][1] &[Wolfram Notebook][2] [1]: https://community.wolfram.com//c/portal/getImageAttachment?filename=0awerq34sdgf5467w.jpg&userId=11733 [2]:... |