Science

A new decoding algorithm and specialized architecture promise to overcome key challenges in scaling quantum error correction for practical applications.

A new framework aims to establish robust, decentralized verification for complex AI models and multi-agent systems, moving past the limitations of traditional centralized approaches.

Researchers have developed a novel approach to encoding information for molecular communication that dramatically reduces storage needs without sacrificing performance.

A new framework leverages the power of large language models to automate key security operations, from threat identification to incident resolution.

A new paradigm integrates covert and secrecy techniques to boost both security and spectral efficiency in wireless networks.

New research reveals that while large language models can produce functional cryptographic code in Rust, it often contains critical security vulnerabilities that require specialized tools to detect.

Inconsistent evaluation methods are masking true performance differences between neutral-atom quantum compilers, hindering progress in the field.

Researchers have developed the first machine-verified theorems guaranteeing the security of masked Number Theoretic Transform (NTT) implementations crucial for post-quantum cryptography.

As we transition to post-quantum cryptography, increasing certificate chain sizes are demonstrably impacting TLS handshake performance and user experience.

Researchers have developed a novel framework for rigorously verifying the correctness of quantum communication protocols, ensuring they behave as expected under realistic physical constraints.