Science

Researchers propose a decentralized channel network that enhances the security and privacy of multi-hop transactions between blockchains.

Researchers have devised a quantum algorithm that significantly reduces the computational complexity of simulating complex materials, paving the way for more efficient quantum simulations.

Researchers have developed a novel hash function leveraging the principles of quantum mechanics and graph theory to create more robust cryptographic fingerprints.

A new framework combines quantum and classical techniques to address the critical privacy challenges of decentralized machine learning.

Researchers detail a new method for creating highly reliable entangled photon states, paving the way for more stable quantum computers.

A new approach leverages multipartite entanglement and qudit-based circuit compression to efficiently implement distributed quantum gates across networked processors.

Researchers have developed a novel framework to reliably assess the security of quantum key distribution systems against sophisticated attacks.

A new framework harnesses the power of quantum encryption to safeguard networked control systems against evolving cyber threats.

Researchers have developed a compact and secure hash engine capable of implementing both SHA-3 and Shake, bolstered by a novel fault detection system.

A functional four-node quantum key distribution network has been successfully deployed using existing underground optical fibre in Cyprus, demonstrating the practical viability of integrating quantum cryptography into current telecommunications infrastructure.