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+---
+title: Qiskit-Torch-Module
+languages:
+  - Python
+frameworks:
+  - Qiskit
+links:
+  docs: https://github.com/nicomeyer96/qiskit-torch-module/blob/main/README.md
+  github: https://github.com/nicomeyer96/qiskit-torch-module
+  releases: https://pypi.org/project/qiskit-torch-module/
+maintainers:
+  - Fraunhofer IIS (Quantum Compilation Group)
+---
+
+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.