Can AI Crack Cryptography?
A new dataset is challenging large language models to move beyond conceptual understanding and tackle the rigorous demands of cryptographic problem-solving.
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.
A new theoretical framework sheds light on the performance of advanced error-correcting codes, including those used in quantum computing.

A new framework leverages the power of quantum computing and privacy-enhancing technologies to unlock the potential of federated learning in autonomous vehicles.
A new quantum algorithm leverages the power of topological data analysis to predict key data features, potentially accelerating insights from complex datasets.

A new algorithm optimizes decoder scheduling to improve the speed and scalability of fault-tolerant quantum computing.
This review explores the Hidden Subgroup Problem, a core challenge in quantum computing with profound implications for modern cryptography.

Researchers detail a novel distributed quantum computing approach that leverages ion qubit shuttling to overcome limitations in scaling and connectivity.
Researchers are exploring noise-enhanced convolutional codes to build more robust cryptographic systems capable of withstanding attacks from future quantum computers.
Researchers have shown that fault-tolerant quantum computation can be achieved with a fixed qubit overhead, even in the presence of realistic noise.