Researchers have developed an integrated optical fuse leveraging the photorefractive effect to automatically protect quantum key distribution systems from malicious signal manipulation.
A new approach leverages quantum circuit learning to model complex patterns in financial markets, offering a potential advantage over traditional time series analysis.
New research shows that linking smaller quantum processors, even with slow connections, can unlock performance gains over building a single, larger machine.
A new approach leverages quantum-enhanced transformers and adversarial training to protect power grids from cyberattacks that threaten short-term voltage stability.
A new framework leverages the power of quantum computing, federated learning, and blockchain to address the critical security and scalability challenges of decentralized artificial intelligence in next-generation wireless networks.
New research clarifies the limits of near-term quantum computers for machine learning tasks and highlights the crucial role of error correction.
This review examines the potential of combining classical and quantum communication channels to build more efficient and secure Space-Air-Ground Integrated Networks.
A new analysis leverages the geometry of the torus to map out the performance limits of a leading quantum error correction code.
Researchers have identified a fundamental limit of 0.873 for approximating solutions to the Edge Partitioning Problem, suggesting that significant algorithmic advancements are required to achieve better results.
A new analysis exposes potential vulnerabilities in SecureDNA, a biosecurity platform used to vet DNA orders, and outlines improvements based on rigorous formal methods.