Rydberg Atom Arrays Turn Feature Selection Into a Quantum Physics Problem
Researchers have encoded a machine learning feature-selection problem directly into the geometry and laser control of neutral-atom Rydberg arrays, achieving ...
Researchers have encoded a machine learning feature-selection problem directly into the geometry and laser control of neutral-atom Rydberg arrays, achieving ...
Researchers have developed DDQAOA, a quantum optimization algorithm that automatically grows its own circuit depth and matches deep fixed-depth QAOA ...
A new systematic review reveals how artificial intelligence, generative models, and quantum computing are converging to transform drug discovery and ...
Reinforcement learning has powered some of artificial intelligence's most celebrated achievements, from mastering the ancient game of Go to sharpening ...
Reinforcement learning has always had a quiet flaw at its heart: most of the algorithms that power it assume the ...
Hybrid classical-quantum neural networks have rapidly become one of the most actively pursued directions in quantum machine learning, promising classification ...
Generative artificial intelligence has produced everything from photorealistic faces to synthetic medical scans, but the systems behind those images remain ...
Quantum computing is moving into a new phase of experimentation, one in which researchers are no longer asking only whether ...
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© 2025 Scienmag - Science Magazine