Part one explained the physics of quantum computing. This piece explains the target — how bitcoin's encryption works, why a ...

As the joke goes, CRQC has been 10 to 20 years away for the past three decades. While the recent research suggests that ...

Abstract: Influence maximization is one of the important problems in network science, data mining, and social media analysis. It focuses on identifying the most influential individuals (or nodes) in a ...

Somewhere on a blockchain right now, a Bitcoin address that last moved coins in 2015 is sitting with its public key fully ...

Government-funded academic research on parallel computing, stream processing, real-time shading languages, and programmable ...

Abstract: Finding influential nodes is a crucial task for understanding and optimizing information spreading in complex networks such as social, biological, transportation, and technological networks, ...

A new study challenges fears of quantum mining dominance, arguing that real-world constraints make it impractical while ...

One paper finds that attacking the bitcoin blockchain through quantum mining would demand the energy output of a star.

Scientists at the AI and Digital Science Institute of the HSE Faculty of Computer Science have developed a model capable of ...

Big spending by big tech and an unexpected catalyst make the network specialist a buy.

To address the network capability needs of organisations are “ready to transform their networking and security architecture from the ground up”, Cato Networks has announced a modular adoption model ...

Google says a new compression algorithm, called TurboQuant, can compress and search massive AI data sets with near-zero indexing time, potentially removing one of the biggest speed limits in modern ...