Quantum Collaboration: Building Trust in Federated Learning

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

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.

Researchers have developed a new heuristic algorithm leveraging the principles of continuous-time quantum walks to efficiently address the notoriously difficult Minimum Vertex Cover problem.
A new dataset is challenging large language models to move beyond conceptual understanding and tackle the rigorous demands of cryptographic problem-solving.

Researchers have found a way to reliably generate quantum chaotic behavior using carefully designed circuits, moving beyond the need for purely random quantum operations.