Comments (10)
Then again, it doesn't currently have a script component that runs an instance. Could it acquire one? :)
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I guess the bigger question is what difference should exist between experiments/examples? Should there even be one?
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That is a bigger question. It seemed sensible to distinguish when @mganahl and I were discussing this with @sleichen, since there is a big difference in code complexity. However, I suppose we could just add READMEs for each one explaining what it is and indicating its complexity (or suitability as a pedagogical example for beginners).
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Hmm. How about we merge them into one folder call extensions
since they basically all extend TensorNetwork functionality.
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I think examples
should contain a collection of code highlighting basic use cases of the API, without too much additional stuff happening around it, so that users can get started quickly with the basic things. The experiments
folder for now contains relatively heavy weight numerics, and I don't think most of the stuff there is of any use for someone who just wants to see the API in action. So as long as we don't have a more extensive documentation, I'd put stuff which uses the API directly, and isn't too complicated to understand, in the examples
folder. I agree that we could merge the two if we addedd appropriate documentation and the like
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Yeah that seems reasonable to me.
Ok cool, examples
will be for teaching and experiments
will be for complicated stuff that we might make part of the library in the future. SGTM.
Now, should 3SAT be an example
or an experiment
?
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I'd put it in examples
. It's not too complicated, and its a good example of how to use the API
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At the moment I agree. We can still decide to make it a part of the API later, if we want.
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Cool. Anyone wanna make a PR? 😄
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Related Issues (20)
- Flaky Test when seed not used HOT 5
- Flaky test (always fails) when seeds are removed HOT 1
- Test `test_gmres_on_larger_random_problem` fails without seeds
- symmetric backend very slow for PEPS tensors HOT 4
- Home Network
- lack sqrt operation in tensornetwork/matrixproductstates/infinite_mps.py
- TensorNetwork backend for QuTiP. HOT 2
- Bug for numpy backend ``sum`` method HOT 3
- SVD on jax backend and thus ``split_node`` cannot be jitted when ``max_truncation_err`` is set
- Bug of setting `center_position` in `apply_two_site_gate` when there's no truncation
- Quantum hardware system integration with TensorNetwork
- Missing code for TensorNetwork Machine Learning HOT 1
- `backend.item` in MPS calculation is incompatible with autograd in jax HOT 2
- The lack of tensor-train RNNs for latest tf/keras HOT 1
- Parallelism Contractors HOT 1
- Question: Vector to FiniteMPS?
- Is there a simple way to multiply a scalar to the tensor values of a node that is part of a network of tensors? HOT 2
- Maintenance of this repository HOT 3
- Tensor
- Pf
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