Beyond the Quantum Bottleneck: A New Path for Hybrid Machine Learning
![The system explores model architectures for quantum machine learning, contrasting a purely quantum approach with hybrid methods-one utilizing a classical multilayer perceptron on $Q(x)$ and another employing a residual hybrid that bypasses measurement bottlenecks with a $[x∥Q(x)]$ structure.](https://arxiv.org/html/2511.20922v1/x1.png)
Researchers are tackling limitations in quantum machine learning with a novel architecture that bypasses the traditional measurement stage, enhancing both accuracy and data privacy.






