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.
A new framework tailors quantum machine learning to individual network clients, boosting the accuracy of anomaly detection in diverse and complex systems.
New research demonstrates a gradient-based method for maximizing the quantum advantage in multipartite Bell inequality violations.
New theoretical work reveals a previously overlooked repulsive interaction between neutral atoms arising from the interplay of light and collective electronic excitations.
Researchers demonstrate the ability of quantum annealing to find ground states in complex classical systems, opening new avenues for simulating materials and quantum phenomena.
Researchers demonstrate a novel wavefunction ansatz, leveraging product state superpositions, for efficient ground state searches in quantum spin systems.
New research reveals that the act of measuring a quantum system accelerates its loss of coherence, with larger systems experiencing decoherence at an increased rate.
A new approach quantifies how much a quantum state deviates from what’s possible with classical, local connections.
A new mathematical language bridges the gap between quantum computing, gravity, and beyond using a powerful extension of established diagrammatic techniques.
This review examines the creation and application of anonymized databases, addressing the challenges and regulations surrounding data privacy in fields like machine learning, GDPR compliance, and HIPAA adherence.