IBM and ExxonMobil are building quantum algorithms to solve this giant computing problem Written by Daphne Leprince-Ringuet, Contributor Feb. 11, 2021 at 6:37 a.m. PT ...

This software, called a mixed-integer linear programming (MILP) solver, splits a massive optimization problem into smaller pieces and uses generic algorithms to try and find the best solution.

The new algorithms will be applied to finding solutions to highly complex problems in areas as diverse as portfolio management, drug development and logistics management.

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.

This algorithm runs quickly and always produces a solution that’s at most 50% longer than the optimal one. So, if it produces a tour of 150 miles, it means that the best tour is no shorter than ...

Conventional quantum algorithms are not feasible for solving combinatorial optimization problems (COPs) with constraints in the operation time of quantum computers. To address this issue ...

Machine learning is not new. We have witnessed it since the 1990s, when Amazon introduced a new "recommended for you" section for its users to display more personalized results. When we search for ...