Large language models are powering a new generation of AI agents that could transform computational chemistry from a ...

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 ...

About a year and a half ago, quantum control startup Quantum Machines and Nvidia announced a deep partnership that would bring together Nvidia’s DGX Quantum computing platform and Quantum Machine’s ...

The computational demands of today’s AI systems are starting to outpace what classical hardware can deliver. How can we fix this? One possible solution is quantum machine learning (QML). QML ...

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 ...

Superhydrides are materials that can store significantly more hydrogen than conventional hydrides and present a highly promising option for applications such as hydrogen storage and superconducting ...

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 ...

This schematic illustrates the integrated AI for Materials (AI4M) framework proposed for OLED material design. It starts from (I) Basic Luminescent Materials, focusing on structural and photophysical ...