a quantum algorithm designed to quickly find solutions within large datasets. The method achieved a 71% success rate, ...

To improve computational efficiency, the algorithm employs a distributed computing framework, efficiently distributing computational tasks across multiple computing units. Through a parallel ...

Our algorithm is a tool for efficient ... Using Palettes With Applications in Quantum Computing, 2024 IEEE International Parallel and Distributed Processing Symposium (IPDPS) (2024).

Our modern world relies on “distributed computing,” which shares the computational load among multiple different machines. The technique passes data back and forth in an elaborate choreography of ...

Sudhir Kumar's visionary analysis highlights the indispensable role distributed technologies play in enabling a resilient, ...

Distributed computing appears to be the only viable ... To be viable, solutions need to offer a combination of algorithms that leverage diverse intelligence, including faults, topology ...

AI has the potential to play a game-changing role in distributed cloud computing and PETs. By enabling intelligent decision-making and automation, AI algorithms can help us optimize data ...

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 ...