Imagine a future where quantum computers supercharge machine learning—training models in seconds, extracting insights from ...

Quantum computing appears on track to help companies in three main areas: optimization, simulation and machine learning. The appeal of quantum machine learning lies in its potential to tackle problems ...

There is more than one way to describe a water molecule, especially when communicating with a machine learning (ML) model, says chemist Robert DiStasio. You can feed the algorithm the molecule's ...

One of the current hot research topics is the combination of two of the most recent technological breakthroughs: machine learning and quantum computing. An experimental study shows that already ...

The quantum-AI convergence represents the next fundamental shift in how we process information, solve problems and create ...

Quantum physics has a reputation for needing exotic hardware, from liquid-helium-cooled qubits to sprawling AI clusters, just ...

In this architecture, the training process adopts a joint optimization mechanism based on classical cross-entropy loss. WiMi treats the measurement probability distribution output by the quantum ...

Building a quantum computer in silicon is a natural choice for the field. The world has already refined classical computing in silicon, and it is one of the world's best understood elements. This ...

ORCA Computing, a leading quantum computing company, today announced a collaboration with ST Engineering to advance ...

Quantum computers will one day outpace the fastest supercomputers on the planet, but what will they be used to accomplish? When you purchase through links on our site, we may earn an affiliate ...