Foundational to the work on quantum error correction (QEC) are logical qubits, which are created by entangling multiple ...
A new Bar-Ilan University study points to a major advance in quantum information processing, demonstrating a way to send, ...
A major obstacle in the development of powerful quantum computers is the growing number of cables required to control a ...
Against the backdrop of growing demand for global ubiquitous connectivity in the 6G era, low-Earth-orbit (LEO) satellite mega-constellations have ...
G’s space-ground integrated networks need reliable simulation tools for LEO satellite mega-constellations. A new study in ...
Abstract: We develop and extensively evaluate highly scalable distributed-memory algorithms for computing minimum spanning trees (MSTs). At the heart of our solutions is a scalable variant of ...
Abstract: Video data and algorithms have been driving advances in multi-object tracking (MOT). While existing MOT datasets focus on occlusion and appearance similarity, complex motion patterns are ...
Even if you don’t know much about the inner workings of generative AI models, you probably know they need a lot of memory. Hence, it is currently almost impossible to buy a measly stick of RAM without ...
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