🗃️ Add component "Qiskit-Torch-Module" from Issue #133#134
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github-actions[bot] wants to merge 2 commits into
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🗃️ Add component "Qiskit-Torch-Module" from Issue #133#134github-actions[bot] wants to merge 2 commits into
github-actions[bot] wants to merge 2 commits into
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DRovara
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Jun 3, 2026
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DRovara
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DRovara
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Thanks a lot for the contribution, @nicomeyer96 .
I have one small request for a change. I would appreciate it if you could update the description of the module accordingly.
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| The qiskit-torch-module is a Qiskit-based simulation and training framework for variational quantum | ||
| circuits with a native PyTorch interface, designed for fast prototyping of quantum neural networks | ||
| on single-CPU machines. It provides efficient multi‑observable evaluation, batch‑parallelized | ||
| expectation and gradient computation, and flexible automatic differentiation for hybrid | ||
| classical–quantum models. Compared to qiskit‑machine‑learning, it achieves up to two orders of | ||
| magnitude lower runtimes with minimal code changes to existing Qiskit workflows. |
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Is it in any way possible to reduce this a tiny bit?
If you look at the preview, you can see that this long description stretches the box in the UI by quite a bit.
Contributor
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No problem @DRovara, I forked the repository, shortened the description, and submitted a pull request as described in the instructions on the main page. |
Contributor
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Alos shortened this one @DRovara |
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Closes #133. This PR was automatically generated.
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