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Quantum Systems
Trends
- 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 of Gravitational Physics report that reinforcement learning outperforms state-of-the-art techniques for shuttling ions in trapped-ion quantum computers. The machine learning approach optimizes how ions are moved within the hardware, a key bottleneck for scaling quantum systems. The findings are published in Physical Review Research, drawing attention from the quantum computing research community.
- 2Researchers Link Chirality To Spin Through Symmetry Principles▼Researchers Link Chirality To Spin Via Established Symmetries
Physicists report a theoretical connection between chirality, the handedness of molecular or physical structures, and spin, using well-established symmetry principles rather than new experimental results. The work ties two properties usually treated separately into a single framework, which researchers say could clarify how handedness and rotational behavior influence each other in quantum systems and materials.
- 3100 Years of Schrödinger's Equation▼100 Years Ago, Schrödinger’s Equation Shed Light on Quantum Physics
One hundred years ago, Austrian physicist Erwin Schrödinger formulated the wave equation that became a cornerstone of quantum mechanics, describing how quantum systems evolve over time. The centennial is prompting reflection on how the 1926 equation reshaped physics, underpinning modern chemistry, electronics and our understanding of the atomic world.