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Physical Review Research
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- 1Reinforcement learning speeds up trapped-ion quantum computing●Machine learning optimizes trapped-ion quantum computing – Reinforcement learning beats state-of-the-art techniques for
Researchers at the Max Planck Institute for Gravitational Physics report that reinforcement learning outperforms state-of-the-art methods for shuttling ions in trapped-ion quantum computers. The machine-learning approach optimizes how individual ions are moved around the processor, a key bottleneck for scaling the technology. The findings were published in Physical Review Research.
- 2Study Links Genetic Risk and Physical Activity to Depression●Associations and interactions between genetic vulnerability and physical activity with MDD in the All of Us Research Program
A study published in Nature examines how genetic vulnerability and physical activity interact in relation to major depressive disorder, using data from the All of Us Research Program. The findings add to growing discussion about how lifestyle factors may influence depression risk among people with genetic predisposition.
- 3LSU professor's physics research published in academic journal●LSU professor’s physics research that supports new theories is published by an academic journal
A Louisiana State University professor has had physics research supporting new theories published in an academic journal. Details of the findings, the journal involved and the specific theories backed by the work have not been released beyond the university's announcement. The publication marks peer recognition of the professor's work in the field of physics.