Science

Researchers have developed a simulation framework to model the complex interactions within quantum networks comprised of different qubit technologies.

Researchers have developed QReach, a novel tool for analyzing the evolution of quantum states within quantum Markov chains, opening doors to verification of larger quantum systems.

A new approach leverages quantum-enhanced deep reinforcement learning to stabilize increasingly complex power grids reliant on inverter-based resources.

New research reveals that surprisingly subtle classical attacks, powered by adversarial machine learning, can compromise the security guarantees of quantum key distribution systems.

A new technique leveraging teleportation and movable logical qubits promises to streamline quantum circuit compilation and reduce computational overhead.

Researchers have developed a scalable method to reduce the overhead of fault-tolerant quantum computation by minimizing the costly operations required for switching between error-correcting codes.

A new approach to hybrid quantum-resistant cryptography offers improved scalability and resilience against side-channel attacks for secure key exchange.

Researchers have successfully applied the Pound-Drever-Hall technique to dramatically improve the stability and sensitivity of superconducting qubit measurements.

Researchers propose a decentralized channel network that enhances the security and privacy of multi-hop transactions between blockchains.

Researchers have devised a quantum algorithm that significantly reduces the computational complexity of simulating complex materials, paving the way for more efficient quantum simulations.