Quantum Bayesian networks boost reinforcement learning in partially observable settings
Reinforcement learning has powered some of artificial intelligence's most celebrated achievements, from mastering the ancient game of Go to sharpening...
Katie Riggs is a Scienmag editorial specialist profile for Quantum Physics coverage.
Reinforcement learning has powered some of artificial intelligence's most celebrated achievements, from mastering the ancient game of Go to sharpening...
A team of Chinese mathematicians has unveiled a comprehensive framework for a special family of error-correcting codes that could expand...
A new theoretical analysis has delivered an unsettling verdict on some of the most popular modern interpretations of quantum mechanics:...
Quantum entanglement, the eerie link that binds the fates of particles regardless of distance, has long been the province of...
In the rarefied world of theoretical physics, some of the most important numbers are also the hardest to pin down....
Physicists probing the deepest layers of reality have long suspected that quantum mechanics must bend at extremely small distances, but...
Reinforcement learning has always had a quiet flaw at its heart: most of the algorithms that power it assume the...
Quantum key distribution has long been promoted as the ultimate answer to the looming threat that quantum computers pose to...
In a development that could reshape how physicists probe the innermost workings of matter, a team of researchers has proposed...
In a breakthrough that could reshape how engineers manipulate light at the nanoscale, an international research team has demonstrated a...
© 2025 Scienmag - Science Magazine
© 2025 Scienmag - Science Magazine