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 ...

Early detection of dementia is a key requirement for effective patient management. Therefore, classification of dementia is pertinent and requires a highly accurate methodology. Deep learning (DL) ...

Integrating quantum computing into AI doesn’t require rebuilding neural networks from scratch. Instead, I’ve found the most effective approach is to introduce a small quantum block—essentially a ...

Quantum computing innovations have garnered significant attention for their potential to revolutionize industries, with the energy sector being one of the most promising areas for application. As ...

D-Wave Quantum Inc. is the only public pure-play quantum computing company generating revenue, focusing on quantum annealing for optimization rather than gate-model quantum computing. QBTS boasts real ...

Quantum computers are powerful, but a practical quantum machine that’s useful for everyday tasks remains elusive. In fact, proponents of quantum computing say it could be another 10 years before there ...

PsiQuantum Inc., a well-funded quantum computing startup, said today it has raised $1 billion in late-stage funding to accelerate its efforts to build a large-scale, reliable quantum computer with ...

Quantum computers may be able to run useful algorithms more quickly, thanks to a new quantum router that helps data get to the right place faster. Traditional computers avoid becoming slow when faced ...

This illustration draws a parallel between quantum state tomography and natural language modeling. In quantum tomography, structured measurements yield probability outcomes that are aggregated to ...

Abstract: Quantum Machine Learning (QML) has emerged as a promising frontier within artificial intelligence, offering enhanced data-driven modeling through quantum-augmented representation, ...