Science

Researchers have developed efficient quantum algorithms for calculating key statistical measures, paving the way for advancements in quantum machine learning and data analysis.

Researchers have experimentally demonstrated a new technique that enhances the complexity of photonic quantum computation using optical feedback, potentially simplifying the path to scalable quantum systems.

New research explores the fundamental trade-offs between energy dissipation, information processing, and the speed at which quantum systems can evolve.

Researchers have developed a weight-based measure to assess the practical capacity of quantum memory, linking it directly to real-world applications and performance limits.

New research critically examines the limits of simulating complex quantum systems using stochastic trajectories, revealing challenges in long-term stability.

Researchers have developed a new method for compiling quantum circuits using the unique properties of non-semisimple anyons in topological quantum computation.

This review clarifies the methods used to detect and characterize entanglement, the bizarre quantum phenomenon that connects particles in ways classical physics cannot explain.

Researchers propose a new experimental approach to differentiate between quantum and classical gravity by exploiting the unique properties of massive mechanical oscillators coupled to engineered reservoirs.

A new review explores the mathematical tools that connect the seemingly disparate worlds of quantum and classical physics.

New research reveals how carefully controlling light scattering can significantly boost the strength of quantum correlations between photons, even in complex and rapidly changing environments.