Reservoir computing is a promising machine learning-based approach for the analysis of data that changes over time, such as ...

Researchers at the University of Tokyo have identified a precise sweet spot where quantum reservoir computing, a machine learning approach that treats quantum systems as computational engines, reaches ...

By applying new methods of machine learning to quantum chemistry research, Heidelberg University scientists have made significant strides in computational chemistry. They have achieved a major ...

Artificial intelligence (AI) has become integral to our daily lives, from virtual assistants like Siri to personalized recommendations on Netflix. As AI technology advances, quantum machine learning ...

Quantum Transportation’s unique decoder is making another step forward by being validated in high-performance cloud ...

The quantum tangent kernel method is a mathematical approach used to understand how fast and how well quantum neural networks can learn. A quantum neural network is a machine learning model that runs ...

D-Wave Quantum (NYSE:QBTS) agreed to acquire Quantum Circuits, Inc., aiming to combine annealing and gate-model quantum technologies. The company also signed a $10 million, two-year Quantum Computing ...

Orbital-free approach enables precise, stable, and physically meaningful calculation of molecular energies and electron ...