Machine learning techniques that make use of tensor networks could manipulate data more efficiently and help open the black ...

Tensor analysis has emerged as a fundamental mathematical framework in elucidating complex interactions within quantum physics and elasticity. In quantum physics, tensors facilitate the description of ...

Dwight E. Neuenschwander: Tensor Calculus for Physics, Johns Hopkins University Press, November 2014, 248 S., geb., $45.00, ISBN: 9781421415659 Understanding tensors is essential for any physics ...

Researchers from The University of New Mexico and Los Alamos National Laboratory have developed a novel computational framework that addresses a longstanding challenge in statistical physics. The ...

The search for quantum gravity has gone on for 100 years, but it is not the only unification challenge in physics. Many of us believe that one day there will be a unification theory—a theory that will ...

Interacting system: A diagram of the researchers' four-qubit superconducting quantum chip. (Courtesy: Y Yu) Researchers at Nanjing University in China have used a superconducting quantum chip to ...

When the FORTRAN programming language debuted in 1957, it transformed how scientists and engineers programmed computers. Complex calculations could suddenly be expressed in concise, math-like notation ...

A research team reported the direct measurement of dielectric tensors of anisotropic structures including the spatial variations of principal refractive indices and directors. The group also ...

Dr. James McCaffrey of Microsoft Research presents the fundamental concepts of tensors necessary to establish a solid foundation for learning how to create PyTorch neural networks, based on his ...