This benchmark tests quantum algorithms—cooling, adiabatic, and optimization—with realistic noise, using quadratic fermionic ...

Many mathematical algorithms used in artificial intelligence weren’t designed to be used for machine learning. A new software framework will help develop new, more appropriate ones. A numerical method ...

Dr. James McCaffrey of Microsoft Research says that when quantum computing becomes generally available, evolutionary algorithms for training huge neural networks could become a very important and ...

The Julia Lab, a research group within MIT's Computer Science and Artificial Intelligence Laboratory (CSAIL), and Neurophos, a company building photonic AI processors, today announced a collaboration ...

Researchers report that a multi-strategy upgrade of the Artificial Lemming Algorithm showed competitive performance on CEC ...

The goal of a numerical optimization problem is to find a vector of values that minimizes some cost function. The most fundamental example is minimizing the Sphere Function f(x0, x1, .. xn) = x0^2 + ...

A new quantum algorithm speeds up optimization problems by leveraging localisation–delocalisation transitions, potentially ...