diff --git a/_components/qiskit-torch-module.md b/_components/qiskit-torch-module.md
index 5b5b9ac..57b196f 100644
--- a/_components/qiskit-torch-module.md
+++ b/_components/qiskit-torch-module.md
@@ -14,7 +14,4 @@ maintainers:
 
 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.
+on single-CPU machines.