具有拓激发的原子性超流体的证据
Xiao-Qiong Wang1,2, Guang-Quan Luo1,2, Jin-Yu Liu1,2
1Department of Physics, Southern University of Science and Technology, Shenzhen, China.
Nature
|August 12, 2021
概括
研究人员发现了一种新型的原子超流体, 这种在光学中产生的波斯-爱因斯坦凝聚物显示自发的旋转顺序和全球角动量,为新的量子材料铺平了道路.
科学领域:
- 原子,分子和光学物理学
- 凝聚物质物理学
- 量子气体
背景情况:
- 拓超流动性是凝聚物质和超冷原子气体的一个关键概念.
- 之前的研究涉及到超导体与拓基质的混合.
- 自从发现超流体3He-A以来,一种本质上表现为拓流动性的材料一直是长期目标.
研究的目的:
- 报告全球性原子超流体的证据.
- 为了研究互动驱动的时间逆向对称性破裂在一个新的光学格子.
- 实现长寿命的斯-爱因斯坦凝聚物超越目前的限制.
主要方法:
- 使用六角化物形状的光学格子来容纳超冷的87Rb原子.
- 使用飞行时间和带映射测量来探测原子行为.
- 开发了Bogoliubov准粒子激发的现象学有效模型.
主要成果:
- 观察到局部阶段和轨道旋转的自发排序.
- 在整个原子格子中演示了全球角动量的出现.
- 在博格鲁布夫准粒子激发中揭示了拓带结构.
结论:
- 这项研究提供了原子斯-爱因斯坦凝聚物的内在拓流动性的证据.
- 观察到的现象是由相互作用诱导的时间逆转对称性破坏驱动的.
- 这种玻色子阶段预计会表现出与量子异常霍尔效应相关的独特量子现象.
相关概念视频
Chirality
27.3K
Chirality is a term that describes the lack of mirror symmetry in an object. In other words, chiral objects cannot be superposed on their mirror images. For example, our feet are chiral, as the mirror image of the left foot, the right foot, cannot be superposed on the left foot.
Chiral objects exhibit a sense of handedness when they interact with another chiral object. For example, our left foot can only fit in the left shoe and not in the right shoe. Achiral objects — objects that have...
Chiral objects exhibit a sense of handedness when they interact with another chiral object. For example, our left foot can only fit in the left shoe and not in the right shoe. Achiral objects — objects that have...
27.3K
Chirality in Nature
14.8K
Chirality is the most intriguing yet essential facet of nature, governing life’s biochemical processes and precision. It can be observed from a snail shell pattern in a macroscopic world to an amino acid, the minutest building block of life. Most of the snails around the world have right-coiled shells because of the intrinsic chirality in their genes. All the amino acids present in the human body exist in an enantiomerically pure state, except for glycine - the sole achiral amino acid.
14.8K
The Fluid Mosaic Model
166.9K
The fluid mosaic model was first proposed as a visual representation of research observations. The model comprises the composition and dynamics of membranes and serves as a foundation for future membrane-related studies. The model depicts the structure of the plasma membrane with a variety of components, which include phospholipids, proteins, and carbohydrates. These integral molecules are loosely bound, defining the cell’s border and providing fluidity for optimal function.
166.9K
Fluid Mosaic Model
14.2K
Scientists identified the plasma membrane in the 1890s and its principal chemical components (lipids and proteins) by 1915. The model for plasma membrane structure, proposed in 1935 by Hugh Davson and James Danielli, was the first model to be widely accepted in the scientific community. The model was based on the plasma membrane's "railroad track" appearance in early electron micrographs. Davson and Danielli theorized that the plasma membrane's structure resembled a sandwich...
14.2K
Atomic Nuclei: Nuclear Spin State Overview
1.3K
NMR-active nuclei have energy levels called 'spin states' that are associated with the orientations of their nuclear magnetic moments. In the absence of a magnetic field, the nuclear magnetic moments are randomly oriented, and the spin states are degenerate. When an external magnetic field is applied, the spin states have only 2 + 1 orientations available to them. A proton with = ½ has two available orientations. Similarly, for a quadrupolar nucleus with a nuclear spin value of...
1.3K
First Law: Particles in Two-dimensional Equilibrium
8.9K
Recall that a particle in equilibrium is one for which the external forces are balanced. Static equilibrium involves objects at rest, and dynamic equilibrium involves objects in motion without acceleration; but it is important to remember that these conditions are relative. For instance, an object may be at rest when viewed from one frame of reference, but that same object would appear to be in motion when viewed by someone moving at a constant velocity.
Newton's first law tells us about...
Newton's first law tells us about...
8.9K


