Predicting how continuous microscopic strains alter local bond lengths and hopping energies has required computationally taxing physics simulations, frustrating attempts to efficiently scan the ...

Researchers have found a way to make the chip design and manufacturing process much easier — by tapping into a hybrid blend of artificial intelligence and quantum computing. When you purchase through ...

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 ...

(A) Inverse control architecture, which can reproduce the strain field by inputting target strain field images. (B) Forward control architecture, which can predict the strain field by inputting the ...

In the ever-evolving fields of artificial intelligence (AI) and machine learning, where technological progress hinges on innovation, Rishabh Shanbhag has emerged as a transformative force. His ...