Distributed algorithms, on the other hand, furnish the mechanisms by which local interactions among agents lead to coherent and reliable global behaviour.

Distributed algorithms for graph problems represent a vibrant area of study that addresses the challenges of decentralised computation across interconnected networks.

In this video from the PASC16 conference, Andrew Lumsdaine from Indiana University presents: Context Matters: Distributed Graph Algorithms and Runtime Systems. "The increasing complexity of the ...

The research team successfully implemented complex algorithms, such as Grover's search algorithm and quantum Fourier transform, within this simulation framework, demonstrating the feasibility of ...

In a milestone that brings quantum computing tangibly closer to large-scale practical use, scientists at Oxford University Physics have demonstrated the first instance of distributed quantum ...

Algorithms allow multiple autonomous robots to connect with each other and take flight.

DeepMind this week released Acme, an open source distributed framework for reinforcement learning algorithm development.

The core concept of MicroAlgo's multi-simulator collaborative subgraph isomorphism algorithm is to decompose large quantum circuits into multiple smaller sub-circuits, leveraging parallel and ...