Science

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.

Researchers are exploring the use of the notoriously difficult SAT problem to build cryptographic systems resilient to attacks from future quantum computers.

A new architecture balances the critical needs of privacy and performance in quantum machine learning.

Researchers have designed novel reversible BCD adder circuits that significantly reduce quantum cost and improve speed for next-generation computing applications.