Low Dimensional Quantum Gases: Resonance, Quantum magnetism and Non-Abelian vortices

低维量子气体:共振、量子磁性和非阿贝尔涡旋

基本信息

  • 批准号:
    288179-2013
  • 负责人:
  • 金额:
    $ 2.4万
  • 依托单位:
  • 依托单位国家:
    加拿大
  • 项目类别:
    Discovery Grants Program - Individual
  • 财政年份:
    2013
  • 资助国家:
    加拿大
  • 起止时间:
    2013-01-01 至 2014-12-31
  • 项目状态:
    已结题

项目摘要

Quantum many-body systems in 2D can exhibit surprising features and unique correlations that otherwise do not exist in 3D. The best known example is perhaps fractional quantum hall states where excitations carry a fraction of electron charge. 2D Quantum gases are another example.This proposal focuses on 2D quantum gases with strong emphases on near-resonance physics, interplay between quantum magnetism in optical lattices and Feshbach resonances, and the hydrodynamics of non-Abelian vortices and non-Abelian gauge fields in 2D superfluids. Experimentally, near-resonance 2D quantum gases can be realized by combining optical confinement and Feshbach resonance. Theoretically, we plan to explore the interplay between few- and many-body physics in 2D, especially three-body correlations and the many-body effects on few-body clusters which can be studied in the loss spectroscopy. The other direction we are going to pursue is on quantum magnetism via Feshbach resonance; we suggest a proposal of studying quantum magnetism by combining Feshbach resonances and optical lattices to dramatically increase the range of temperatures within which magnetic ordering and phase transitions can be studied. The last direction is about low dimension spin correlated quantum gases; we plan to study the hydrodynamics of non-Abelian vortices in 2D gases, artificial non-Abelian gauge fields and dynamic generation of vortices in rotating quasi 2D traps.
2D中的量子多体系统可以表现出令人惊讶的特征和独特的相关性,否则在3D中不存在。最著名的例子可能是分数量子霍尔态,其中激发携带一小部分电子电荷。2D量子气体是另一个例子。该计划侧重于2D量子气体,重点关注近共振物理,光学晶格中量子磁性与Feshbach共振之间的相互作用,以及2D超流体中非阿贝尔涡旋和非阿贝尔规范场的流体动力学。在实验上,近共振二维量子气体可以通过结合光学限制和Feshbach共振来实现。在理论上,我们计划探索2D中的少体和多体物理之间的相互作用,特别是三体相关性和多体效应对少体团簇的影响,可以在损失光谱中进行研究。我们要追求的另一个方向是通过Feshbach共振的量子磁性;我们建议通过结合Feshbach共振和光学晶格来研究量子磁性,以显着增加可以研究磁有序和相变的温度范围。最后一个方向是关于低维自旋相关量子气体,我们计划研究二维气体中非阿贝尔涡旋的流体动力学,人工非阿贝尔规范场和旋转准二维陷阱中涡旋的动态生成。

项目成果

期刊论文数量(0)
专著数量(0)
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会议论文数量(0)
专利数量(0)

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Zhou, Fei其他文献

Two novel positive cis-regulatory elements involved in green tissue-specific promoter activity in rice (Oryza sativa L ssp.)
参与水稻绿色组织特异性启动子活性的两个新型正顺式调控元件(Oryza sativa L ssp.)
  • DOI:
    10.1007/s00299-012-1238-8
  • 发表时间:
    2012-03
  • 期刊:
  • 影响因子:
    6.2
  • 作者:
    Ye, Rongjian;Zhou, Fei;Lin, Yongjun
  • 通讯作者:
    Lin, Yongjun
Subset of genes targeted by transcription factor NF-kappa B in TNF alpha-stimulated human HeLa cells
TNF α 刺激的人 HeLa 细胞中转录因子 NF-kappa B 靶向的基因子集
Serum levels of IL-6 and CRP can predict the efficacy of mFOLFIRINOX in patients with advanced pancreatic cancer.
  • DOI:
    10.3389/fonc.2022.964115
  • 发表时间:
    2022
  • 期刊:
  • 影响因子:
    4.7
  • 作者:
    Shen, Feifei;Liu, Chuan;Zhang, Weiguo;He, Sijia;Wang, Fan;Wang, Jingjue;Li, Qi;Zhou, Fei
  • 通讯作者:
    Zhou, Fei
Advanced lung adenocarcinoma patient with EGFR exon 20 insertion benefits from high-dose furmonertinib for nine months after progression from mobocertinib: a case report.
  • DOI:
    10.21037/atm-22-1167
  • 发表时间:
    2022-03
  • 期刊:
  • 影响因子:
    0
  • 作者:
    Jia, Keyi;Yang, Shuo;Chen, Bin;Yu, Jia;Wu, Yan;Li, Wei;Zhou, Fei;Wu, Fengying;Feng, Gaohua;Ren, Shengxiang
  • 通讯作者:
    Ren, Shengxiang
Exosomal miRNA-155-5p from M1-polarized macrophages suppresses angiogenesis by targeting GDF6 to interrupt diabetic wound healing.
  • DOI:
    10.1016/j.omtn.2023.102074
  • 发表时间:
    2023-12-12
  • 期刊:
  • 影响因子:
    0
  • 作者:
    Lou, Ruohan;Chen, Jiali;Zhou, Fei;Zhang, Tian;Chen, Xiuping;Wang, Chunming;Guo, Bing;Lin, Ligen
  • 通讯作者:
    Lin, Ligen

Zhou, Fei的其他文献

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{{ truncateString('Zhou, Fei', 18)}}的其他基金

Quantum transport and hydrodynamics in strongly interacting systems: Symmetries, Quantum criticality and Entanglement
强相互作用系统中的量子输运和流体动力学:对称性、量子临界性和纠缠
  • 批准号:
    RGPIN-2020-07070
  • 财政年份:
    2022
  • 资助金额:
    $ 2.4万
  • 项目类别:
    Discovery Grants Program - Individual
Quantum transport and hydrodynamics in strongly interacting systems: Symmetries, Quantum criticality and Entanglement
强相互作用系统中的量子输运和流体动力学:对称性、量子临界性和纠缠
  • 批准号:
    RGPIN-2020-07070
  • 财政年份:
    2021
  • 资助金额:
    $ 2.4万
  • 项目类别:
    Discovery Grants Program - Individual
Quantum transport and hydrodynamics in strongly interacting systems: Symmetries, Quantum criticality and Entanglement
强相互作用系统中的量子输运和流体动力学:对称性、量子临界性和纠缠
  • 批准号:
    RGPIN-2020-07070
  • 财政年份:
    2020
  • 资助金额:
    $ 2.4万
  • 项目类别:
    Discovery Grants Program - Individual
Low Dimensional Quantum Gases: Resonance, Quantum magnetism and Non-Abelian vortices
低维量子气体:共振、量子磁性和非阿贝尔涡旋
  • 批准号:
    288179-2013
  • 财政年份:
    2017
  • 资助金额:
    $ 2.4万
  • 项目类别:
    Discovery Grants Program - Individual
Low Dimensional Quantum Gases: Resonance, Quantum magnetism and Non-Abelian vortices
低维量子气体:共振、量子磁性和非阿贝尔涡旋
  • 批准号:
    288179-2013
  • 财政年份:
    2016
  • 资助金额:
    $ 2.4万
  • 项目类别:
    Discovery Grants Program - Individual
Low Dimensional Quantum Gases: Resonance, Quantum magnetism and Non-Abelian vortices
低维量子气体:共振、量子磁性和非阿贝尔涡旋
  • 批准号:
    288179-2013
  • 财政年份:
    2015
  • 资助金额:
    $ 2.4万
  • 项目类别:
    Discovery Grants Program - Individual
Low Dimensional Quantum Gases: Resonance, Quantum magnetism and Non-Abelian vortices
低维量子气体:共振、量子磁性和非阿贝尔涡旋
  • 批准号:
    288179-2013
  • 财政年份:
    2014
  • 资助金额:
    $ 2.4万
  • 项目类别:
    Discovery Grants Program - Individual
Strongly interacting cold atoms in optical lattices
光学晶格中强相互作用的冷原子
  • 批准号:
    288179-2008
  • 财政年份:
    2012
  • 资助金额:
    $ 2.4万
  • 项目类别:
    Discovery Grants Program - Individual
Strongly interacting cold atoms in optical lattices
光学晶格中强相互作用的冷原子
  • 批准号:
    288179-2008
  • 财政年份:
    2011
  • 资助金额:
    $ 2.4万
  • 项目类别:
    Discovery Grants Program - Individual
Strongly interacting cold atoms in optical lattices
光学晶格中强相互作用的冷原子
  • 批准号:
    288179-2008
  • 财政年份:
    2010
  • 资助金额:
    $ 2.4万
  • 项目类别:
    Discovery Grants Program - Individual

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Scalable Learning and Optimization: High-dimensional Models and Online Decision-Making Strategies for Big Data Analysis
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