WiMi Releases Next-Generation Quantum Convolutional Neural Network Technology for Multi-Channel Supervised Learning

WiMi Releases Next-Generation Quantum Convolutional Neural Network Technology for Multi-Channel Supervised Learning BEIJING, Jan. 05, 2026––WiMi Hologram Cloud Inc. (NASDAQ: WiMi) ("WiMi" or the ...
INSPIRE

Quantum Advantage Seeker with Kernels (QuASK): a software framework to speed up the research in quantum machine learning

Exploiting the properties of quantum information to the benefit of machine learning models is perhaps the most active field of research in quantum computation. This interest has supported the ...
IEEE

Benchmarking Quantum Machine Learning Kernel Training for Classification Tasks

Abstract: Quantum-enhanced machine learning is a rapidly evolving field that aims to leverage the unique properties of quantum mechanics to enhance classical machine learning. However, the practical ...
WOOD-TV

Whitecaps hold off Kernels for 3-1 win, claim their 7th Midwest League title

PLAINFIELD TOWNSHIP, Mich. (WOOD) — The West Michigan Whitecaps popped the Cedar Rapids Kernels 3-1 on Tuesday to claim their seventh Midwest League championship. The game was tight all night at Cedar ...
GitHub

Wave: Python Domain-Specific Language for High Performance Machine Learning

Wave enables rapid prototyping of new optimization ideas and algorithms through its high-level abstractions and symbolic programming model. Kernel authors can quickly express complex tensor operations ...
securities

Does Quantum Computing Have A First Real-World Use Case?

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Android Authority

Here's how Arm accelerates AI workloads

In today’s rapidly changing technology landscape, machine learning and AI enable us to redefine industries and change how we interact with the world. AI allows developers to create more intelligent, ...
INSPIRE

Mitigating exponential concentration in covariant quantum kernels for subspace and real-world data

Fidelity quantum kernels have shown promise in classification tasks, particularly when a group structure in the data can be identified and exploited through a covariant feature map. In fact, there ...