Quantum computers could revolutionize everything from drug discovery to business analytics—but their incredible power also ...

Implement Neural Network in Python from Scratch ! In this video, we will implement MultClass Classification with Softmax by making a Neural Network in Python from Scratch. We will not use any build in ...

gordicaleksa / pytorch-GAT My implementation of the original GAT paper (Veličković et al.). I've additionally included the playground.py file for visualizing the Cora dataset, GAT embeddings, an ...

Abstract: Quantum Computing is a very promising paradigm given the ability that Quantum brings in terms of recognizing patterns which their classical counterparts very likely fail at.The intersection ...

Tucked between a gymnasium and an inflatable amusement park, twenty-five miles north of midtown Manhattan, engineers are building some of the smallest quantum computers the world has ever seen. Based ...

We will create a Deep Neural Network python from scratch. We are not going to use Tensorflow or any built-in model to write the code, but it's entirely from scratch in python. We will code Deep Neural ...

Investors who want to capitalize on the future of quantum computing have a few options. Even as it pushes ahead in AI, Alphabet is making notable headway in quantum computing. IonQ is a pure-play ...

Caltech, Google, and IBM delivered results that reshaped expectations for practical quantum systems. Bitcoin developers reassessed long-term security as quantum timelines grew less speculative.

Abstract: Quantum neural networks (QNNs) have gained significant attention in quantum machine learning. To apply QNNs to classical tasks on quantum computers, a key step is encoding classical data ...