Announcement of the Quantum Information Recursive Optimization (QIRO) algorithm positions MicroAlgo as a leader in innovative quantum computing solutions for combinatorial optimization problems ...

When using an evolutionary algorithm you need to define a method for the specific problem being optimized. In some situations you might need to pass additional information to the Solver class. For ...

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 ...

Applying the Quantum Approximate Optimization Algorithm to the Tail-Assignment Problem. Physical Review Applied , 2020; 14 (3) DOI: 10.1103/PhysRevApplied.14.034009 Cite This Page : ...

The researchers say that the innovations in math and algorithms they have developed are as critical as the machine itself in solving optimization problems. The novel type of algorithm being used in ...

By translating an optimization problem into a quantum one, and then applying the decoding lens to it, he had stumbled into a new way to develop quantum algorithms. Together with Noah Shutty, also at ...

The Travelling Salesperson Problem a combinatorial optimization problem and one of the most intensively studied puzzles in mathematics. The challenge is to find the shortest route that visits every ...