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Grover’s Algorithm

Quantum Computing

Qiskit

Grover’s algorithm is a foundational quantum computing technique that achieves a quadratic speedup for unstructured search problems. This post explores the algorithm’s geometric intuition, circuit implementation, and practical considerations, including a step-by-step Qiskit example.

Jun 22, 2025

Deep Sets

Geometric DL

PyTorch

Dive into Deep Sets, a foundational architecture for machine learning on unordered sets. This post explores the principle of permutation invariance, unveils the universal approximation capabilities of the Deep Sets model, and situates it within the broader Geometric Deep Learning blueprint. The post also includes a hands-on code example using PyTorch and the ModelNet10 dataset.

Jun 14, 2025

Hamiltonian Neural Networks (HNN)

Physics Informed ML

JAX

Flax

Hamiltonian Neural Networks (HNNs) are a powerful approach to learning physics-preserving dynamics by modeling the Hamiltonian function \(H(q,p)\) of a system, rather than its vector field directly. This tutorial will guide you through the theory and implementation of HNNs using JAX and Flax.

Jun 9, 2025

Categories

Grover’s Algorithm

Deep Sets

Hamiltonian Neural Networks (HNN)