I write about software engineering, machine learning, data science, and quantum computing.
I wanted a quantum layer that drops into an MLX model like any other nn.Module. So I built a differentiable statevector simulator that runs natively on the Metal GPU which is 250–1770× faster than driving Qiskit from Python, matching it to float32.
Classical Neural Networks struggle with complex topologies like rings and donuts. In this post, we visualize how Hybrid Quantum Neural Networks use entanglement to solve these geometries instantly.
Quantum Recurrent Neural Networks (QRNNs) combine ideas from classical RNNs with the expressive power of quantum circuits. Let’s walk through the concept step by step.
Linear Regression is often the first algorithm that newcomers to machine learning learn and for good reason. It’s intuitive, powerful, and forms the foundation for many more advanced techniques.