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Abstract: Quantum convolutional neural networks (QCNNs) are a highly appealing architecture that combines quantum computing and deep learning. Inspired by classical convolutional neural network (CNN) ...

Abstract: Quantum Artificial Intelligence (QAI) represents the convergence of quantum computing and machine learning, aiming to harness the computational power of quantum mechanics to enhance the ...

Can a handful of atoms outperform a much larger digital neural network on a real-world task? The answer may be yes. In a study published in Physical Review Letters, a team led by Prof. Peng Xinhua and ...

Quantum computing encryption is reshaping how we think about digital security in a world built on encrypted communication. Today's systems rely on mathematical complexity, but emerging quantum ...

Edge computing is an emerging IT architecture that enables the processing of data locally by smartphones, autonomous vehicles, local servers, and other IoT devices instead of sending it to be ...

Eighteen months after selling his startup to chipmaker AMD for $665 million, Finnish entrepreneur Peter Sarlin has left his role as CEO of the unit now known as AMD Silo AI. He is now chairman at two ...

The new architecture shows how quantum processors could work alongside classical HPC, creating hybrid environments to tackle scientific problems neither can solve alone. Quantum computing has moved ...

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Interactive Python toolkit for topological quantum neural networks: noise-resilient classification via spin-network encoding, with three real-time visualization GUIs. Controlled interpolation between ...