The Seeker quantum processor from Quantum Circuits now supports Nvidia's CUDA-Q, enabling developers to combine quantum ...

Prediction of crystal structures of organic molecules is a critical task in many industries, especially in pharmaceuticals ...

A recent study by researchers from CSIRO and the University of Melbourne has made progress in quantum machine learning, a field aimed at achieving quantum advantage to outperform classical machine ...

Advances in very-large-scale integration (VLSI) design have increasingly relied on machine learning (ML) techniques to optimise performance, reduce manufacturing turnaround times and ensure high ...

When machine learning is used to suggest new potential scientific insights or directions, algorithms sometimes offer ...

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 ...