Quantum geometry describes quantum states in systems with changing system parameters, such as an electron spinning in a magnetic field whose direction is slowly changing. The state of the electron ...

CBSE Class 11 Physics Half Yearly Sample Paper 2025: The CBSE Class 11 Physics Half Yearly Sample Paper for the academic year 2025-26 is a crucial tool for students getting ready for their mid-term ...

The training of neural networks (NNs) is a computationally intensive task requiring significant time and resources. This article presents a novel approach to NN training using adiabatic quantum ...

Evolution is increasingly recognized as a powerful tool for building and controlling living and lifelike systems. However, the complexity and stochasticity of the evolutionary process have thus far ...

In a previous article (link), we explored the water-saving potential of modern cooling technologies. This follow-up examines the broader operational implications—particularly how water treatment and ...

Article Views are the COUNTER-compliant sum of full text article downloads since November 2008 (both PDF and HTML) across all institutions and individuals. These metrics are regularly updated to ...

It is highly recommended to only use AthenaPK with the Kokkos and Parthenon versions that are provided by the submodules (see building) and to build everything (AthenaPK, Parthenon, and Kokkos) ...

In case you hadn't noticed, computers are hot—literally. A laptop can pump out thigh-baking heat, and data centers consume an estimated 200 terawatt-hours every year, comparable to the energy ...

A major challenge in machine learning is the computational expense of training these models. Model training can be viewed as a form of optimization used to fit a machine learning model to a set of ...

The article addresses the possibility of implementing spin network states, used in the loop quantum gravity approach to Planck scale physics on an adiabatic quantum computer. The discussion focuses on ...