By applying new methods of machine learning to quantum chemistry research, Heidelberg University scientists have made ...

The idea that quantum computing could transform medical artificial intelligence (AI) has gained momentum in recent years, driven by advances in cloud-accessible quantum platforms and hybrid computing ...

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 ...

Molecular machine learning (ML) underpins critical workflows in drug discovery, material science, and catalyst optimization by rapidly predicting molecular interactions and properties. For instance, ...

Australia is positioning itself as a global quantum computing leader with a vision to help define a technology roadmap that ...

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 ...

Explore the future of the Quantum 2.0 market, set to expand from $3 billion in 2026 to over $50 billion by 2036, driven by quantum computing, sensing, and communications. This seismic technological ...

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 ...