Combinatorial optimisation algorithms are central to addressing problems in which the goal is to select an optimal solution from a finite set of alternatives. These algorithms have evolved ...

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

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

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

In a new development that is most likely to establish a new industry standard, scientists at Cambridge Quantum (CQ) have created a new algorithm for solving combinatorial optimization problems ...

A classic combinatorial optimization challenge is the Traveling Salesman Problem ... such as 10000.0 and then is reduced slowly on each iteration. Early in the algorithm, when temperature is large, ...

The intended audience consists of Ph.D. students interested in optimization, combinatorics, or combinatorial algorithms. CS 336 is a pre-requiste for this course, and I would recommend this class for ...

program to advance the state-of-the-art in quantum algorithms for solving combinatorial optimization problems. Rigetti’s project, “Scheduling Problems with Efficient Encoding of Qubits ...

The framework is able to solve combinatorial optimization problems significantly ... in a more scalable manner by using a new distributed algorithm that allows multiple computation units on ...

Combinatorial optimisation is a fundamental ... To address these challenges, researchers have developed a wide array of algorithms ranging from exact methods, such as mixed integer linear ...