Semiconductor processing is notoriously challenging. It is one of the most intricate feats of modern engineering due to the ...

Opinion: Lidiya Mishchenko and Pooya Shoghi explain how to bridge a gap preventing successful patent claims to protect new ...

In a first, Australian scientists turned to quantum machine learning to model semiconductor design, outperforming classical ...

Looking forward, the team aims to scale these models for larger, more complex datasets and explore further optimizations in quantum state encoding and quantum machine learning architecture design.

The 10 hottest data science and machine learning tools include MLflow 3.0, PyTorch, Snowflake Data Science Agent and ...

So, in other words, you can absolutely expect the PS6 — which by this point is deep in development — to incorporate machine ...

This diagram illustrates how the team reduces quantum circuit complexity in machine learning using three encoding methods—variational, genetic, and matrix product state algorithms. All methods ...