BQP implemented VQLS-based approach that reduces circuit size, optimizes qubit usage and lowers number of trainable ...

This course will cover advanced topics in the development and analysis of numerical methods for simulation of rigid body motion. Topics will include forward error ...

Ocean data assimilation systems combine data assimilation with numerical ocean models to predict ocean conditions.

A team at Shanghai Jiao Tong University has introduced a research platform to explore whether quantum algorithms can ...

The geological storage of carbon dioxide (CO2) in deep geological formations is considered internationally, as well as in ...

The Austrian startup combines real-time physics AI with a hybrid work model designed to support deep research, debate, and ...

Reproducing the Milky Way star by star posed a major challenge for scientists, due to computational limitations imposed by the nature of astrophysical phenomena. A team of Japanese researchers, ...

Green education has evolved from being a mere add-on to becoming a key pillar of the modern academic framework.

IT and networking provider to adopt open, full-stack AI platform engineered for large-scale AI workloads looking to deliver high-bandwidth, low-latency connectivity across massive AI clusters.

A research team led by Professor Johan Gaume and postdoctoral researcher Lars Blatny has developed a model that realistically captures how snow, sand ...

Researchers propose a synergistic computational imaging framework that provides wide-field, subpixel resolution imaging ...