Caltech scientists have found a fast and efficient way to add up large numbers of Feynman diagrams, the simple drawings ...

Enrique Rico Ortega and Sofia Vallecorsa explain how quantum computing will allow physicists to model complex dynamics, from ...

Prime numbers, vital in mathematics and competitive exams, can be quickly identified using a systematic approach. This method ...

Some numbers are so unimaginably large that they defy the bounds of modern mathematics, and now mathematicians are closing in ...

Imaginary time is a wonky concept for our time-bound brains, but in quantum theory and mathematics, it’s a useful tool for ...

Computers can help ensure that mathematical proofs are correct, but translating traditional maths into a machine-readable ...

Instead, “imaginary time” is defined as a length of time that can be multiplied by the square root of -1, an imaginary number represented by the number i.

Physics Informed Neural Networks (PINNs) have gained significant popularity for solving partial differential equations (PDEs) due to their powerful modeling capabilities. However, their application to ...

K. S. Miller and B. Ross , An Introduction to the Fractional Calculus and Fractional Differential Equations ( John Wiley and Sons , New York , 1993 ) . Google Scholar M. Weilbeer , Efficient Numerical ...

We demonstrate an adiabatic evolution scheme to evolve from the ground state of a known Hamiltonian to a Mattis-spin glass Hamiltonian, which corresponds to solving a two-way Number-Partitioning ...