NVIDIA’s Strategy Is Shaping The Future Of Quantum Computing

NVIDIA isn’t building quantum computers, instead it’s using its supercomputing strengths to accelerate quantum computing ...
Morningstar

MicroCloud Hologram Inc. Releases Learnable Quantum Spectral Filter Technology for Hybrid Graph Neural Networks

SHENZHEN, China, Jan. 5, 2026 /PRNewswire/ -- MicroCloud Hologram Inc. (NASDAQ: HOLO), ("HOLO" or the "Company"), a technology service provider, released learnable quantum spectral filter technology ...
Hosted on MSN

Neural network Python from scratch with softmax

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 ...
GitHub

My Graph Neural Network Stack

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 ...
IEEE

QcNet: A Hybrid Quantum-Classical Neural Network for Multi-Class Image Classification

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 ...
IEEE

QuFrame: A Novel Encoding Ensemble Framework for Quantum Neural Networks

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 ...
CoinDesk

Bitcoin isn’t under quantum threat yet, but upgrade could take 5-10 years

Some Bitcoin developers are no longer arguing about whether quantum computing will break the network, but letting onlookers know how long it would take to prepare if it ever did. That shift was ...