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 ...
GQW, a new quantum algorithm where a quantum walk finds good solutions to complex optimization problems using only 30 ...
Variational quantum algorithms (VQAs) are constrained by a trade-off: deeper circuits can cover a larger reachable quantum states but suffer from barren plateaus, while shallow circuits remain ...
Evolutionary algorithms form a robust class of metaheuristic methods inspired by natural selection, designed to tackle combinatorial optimisation tasks where the search space grows factorially or ...
The proposed algorithm combines variational scheduling with post-processing to achieve near-optimal solutions to combinatorial optimization problems with constraints within the operation time of ...
Shenzhen, May 14, 2025 (GLOBE NEWSWIRE) -- MicroAlgo Inc. Announces Research on Quantum Information Recursive Optimization (QIRO) Algorithm, for Combinatorial Optimization Problems to Expand and Solve ...
The traveling salesman problem is considered a prime example of a combinatorial optimization problem. Now a Berlin team led by theoretical physicist Prof. Dr. Jens Eisert of Freie Universität Berlin ...
Researchers at Ajman University have hybridized a rat-inspired optimization algorithm with Lévy Flights and simulated ...
Researchers at Nanyang Technological University, Singapore (NTU Singapore) have developed an artificial intelligence (AI) ...
Researchers in Hong Kong and Japan have developed an integer programming method that constrains single-cell trajectory trees ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results