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**Is your feature request related to a problem? Please describe.**
To efficiently simulate systems beyond a few dozen qubits, alternative methods are necessary due to the exponential increase in co…
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Here are some references:
1. Measuring orbital interaction using quantum information theory (https://arxiv.org/abs/cond-mat/0508524)
2. Simulating Strongly Correlated Quantum Systems with Tree Tenso…
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Code in: https://github.com/MIC-DKFZ/MedNeXt/blob/c5ed3f38b56d58c80581c75fea856865f42ddb75/nnunet_mednext/network_architecture/mednextv1/MedNextV1.py#L267
```
# Used to fix PyTorch checkpointing bu…
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Following discussions with @FHoltorf over Slack, I am opening an issue (feature request) here.
The scope of this FR address the following high level problems:
- How would one solve a high dimen…
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## Links
- https://mlir.llvm.org
- https://opensource.googleblog.com/2023/03/openxla-is-ready-to-accelerate-and-simplify-ml-development.html
- https://github.com/dfdx/Umlaut.jl
- https://github.…
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**Submitting author:** @mofeing (Sergio Sánchez Ramírez)
**Repository:** https://github.com/bsc-quantic/EinExprs.jl
**Branch with paper.md** (empty if default branch):
**Version:** v0.6.5
**Editor:**…
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Hi,
First of all, thank you for your excellent work on this project. I am currently working with the predictor.py file and have a question regarding the input data for the predictor model.
Specific…
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Currently, it is possible to create a `Chain` ansatz that contains tensors with inconsistent dimension sizes between tensors. In my opinion, there should be an error if one tries to create a `Quantum`…
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```bash
(.venv) mkotak@radish:~/atomic_architects/projects/e3nn_simple_network$ python train.py
Output shape (Case 1): torch.Size([1000, 144])
Output shape (Case 2): torch.Size([1, 144])
torch.Siz…
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```
import tltorch
import torch
from torch.profiler import profile, record_function, ProfilerActivity
data = torch.randn((4, 16), dtype=torch.float32)
linear = torch.nn.Linear(16, 10)
fact_…