No algorithm for optimizing general nonlinear functions exists that always finds the global optimum for a general nonlinear minimization problem in a reasonable amount of time. Since no single ...

MicroAlgo Inc. announced its research on the Quantum Information Recursive Optimization (QIRO) algorithm, which aims to address complex combinatorial optimization problems using quantum computing.

New hybrid quantum-classical approach outperforms novel quantum algorithms to advance energy sector modernization.

If you rotate an image of a molecular structure, a human can tell the rotated image is still the same molecule, but a machine ...

Scientists often seek new materials derived from polymers. Rather than starting a polymer search from scratch, they save time ...

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 + ...

19) with a total distance of 19.0 units. Combinatorial optimization problems are among the most difficult in computer science. One of the most common techniques for solving them is an old approach ...