Xanadu, a global leader in quantum computing software and quantum-photonic hardware, today announced a new research initiative with Lockheed Martin, the global defense and technology company, to ...

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 ...

MicroCloud Hologram Inc. (NASDAQ: HOLO), ('HOLO” or the 'Company'), a technology service provider, proposed a quantum AI simulator that adopts a hybrid CPU-FPGA method. This system performs ...

Reservoir computing is a promising machine learning-based approach for the analysis of data that changes over time, such as weather patterns, recorded speech or stock market trends. Classical ...

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

Long confined to theoretical labs and sci-fi thrillers, quantum computing is fast emerging as a real-world technology with ...

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 ...

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

Surpasses $3.5 Billion in Assets and Earns 5-Star Morningstar Rating Defiance ETFs today announced that its Quantum Computing ETF (QTUM) has surpassed $3.5 billion in assets under management and has ...