The artifact of Rasengan: A Transition Hamiltonian-based Approximation Algorithm for Solving Constrained Binary Optimization Problems - JanusQ/Rasengan ...

The travelling salesman problem (TSP) remains one of the most challenging NP‐hard problems in combinatorial optimisation, with significant implications for logistics, network design and route ...

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.

Abstract: In applied and numerical algebraic geometry, many problems are reduced to computing an approximation to a real algebraic curve. In order to elevate the results of such a computation to the ...

The area of approximation algorithms is aimed at giving provable guarantees on the performance of heuristics for hard problems. The course will present general techniques (such as convex ...

The goal of this algorithm is to “approximate” the value of a graph optimization problem called “maximum directed cut”, or Max-DICUT for short, and the algorithm operates in the so-called “streaming ...

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, researchers ...

Abstract This study examines the multicriteria scheduling problem on a single machine to minimize three criteria: the maximum cost function, denoted by maximum late work (Vmax), maximum tardy job, ...

The replacement algorithms provide the correct answers but are frequently orders of magnitude slower. A recent breakthrough in combinatorial techniques has shown how these early algorithms can be ...