Researchers have developed a quantum particle swarm optimization algorithm for maximum power point tracking that reportedly generates 3.33% more power in higher temperature tests and 0.89% more power ...

Named entity recognition (NER) has been seen as a fundamental component for various natural language processing (NLP) tasks, such as extracting information and answering questions. NER is used to ...

Optimization algorithms seek the best possible solutions to complex problems by iteratively refining candidate solutions. Swarm intelligence techniques draw inspiration from collective behaviours in ...

Researchers demonstrated a quantum algorithmic speedup with the quantum approximate optimization algorithm, laying the groundwork for advancements in telecommunications, financial modeling, materials ...

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 ...