Explore how Gemini Deep Think redefines AI problem-solving, tackling complex challenges in mathematics, algorithms, and ...

Post-Processing Variationally Scheduled Quantum Algorithm for Constrained Combinatorial Optimization Problems. IEEE Transactions on Quantum Engineering, 2024; 1 DOI: 10.1109/TQE.2024.3376721 ...

It’s been difficult to find important questions that quantum computers can answer faster than classical machines, but a new algorithm appears to do so for some critical optimization tasks.

Shenzhen, May 14, 2025 (GLOBE NEWSWIRE) -- MicroAlgo Inc. Announces Research on Quantum Information Recursive Optimization (QIRO) Algorithm, for Combinatorial Optimization Problems to Expand and ...

The vehicle routing problem with time windows (VRPTW) is a generalization of the vehicle routing problem where the service of a customer can begin within the time window defined by the earliest and ...

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 + ...

The goal of a combinatorial optimization problem is to find a set of distinct integer values that minimizes some cost function. The most famous example is the Traveling Salesman Problem (TSP). There ...

Solomon Gebregiorgis, Poom Kumam, Thidaporn Seangwattana, Modified General Inertial Mann and General Inertial Viscosity Algorithms for Fixed Point and Common Fixed Point Problems with Applications, ...

Tiny quantum computer solves real optimization problem Date: December 18, 2020 Source: Chalmers University of Technology Summary: Quantum computers have already managed to surpass ordinary ...