Abstract: Post-training quantization (PTQ) has emerged as a practical approach to compress large neural networks, making them highly efficient for deployment. However, effectively reducing these ...
In this tutorial, we present an advanced, hands-on tutorial that demonstrates how we use Qrisp to build and execute non-trivial quantum algorithms. We walk through core Qrisp abstractions for quantum ...
Abstract: In UAV Consumer Applications, the challenges and methods of current unmanned aerial vehicle (UAV) radar detection technology are examined. The quantum multi-pattern recognition network model ...
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