Quantum Simulation of Turbulence with Cold Atoms
冷原子湍流的量子模拟
基本信息
- 批准号:2012190
- 负责人:
- 金额:$ 27万
- 依托单位:
- 依托单位国家:美国
- 项目类别:Continuing Grant
- 财政年份:2020
- 资助国家:美国
- 起止时间:2020-09-01 至 2024-08-31
- 项目状态:已结题
- 来源:
- 关键词:
项目摘要
Quantum vortices - an analog of tornadoes - play a key role in the dynamics of neutron stars: the densest objects in the universe on the verge of becoming black holes. Surprisingly, quantum vortices can be studied on earth with ultracold-atom experiments, operating almost a billion times colder than outer space. These experiments can be adjusted to mimic many aspects of neutron stars, and this project will enable them to be used as analog quantum computers to simulate turbulence in nuclear astrophysics. By transcending current limitations of classical computers, this will rapidly accelerate the progress of science, targeting the 40-year old mystery of pulsar glitches. This program combines two of the NSF's Big Ideas, advancing quantum simulations (Quantum Leap) to maximize the return on detector investment (Windows on the Universe). Pulsar glitches might even be heard with the next round of gravitational wave observations at the NSF LIGO facility, informing nuclear physics by providing insight into their microscopic nature. In addition to advancing basic science, this project will explore quantum dynamics with potential applications to quantum devices, and develop accessible programming models to help students and researchers more effectively utilize national investment in high-performance computing (HPC) to advance the pace of scientific discovery. Finally, a superfluid explorer application will be developed to help the public and students appreciate quantum behavior, and better understand the science at the core of the next quantum revolution.This project will deliver computationally efficient models that accurately describe dynamic quantum effects, including negative-mass hydrodynamics from dispersion relationships engineered with spin-orbit coupled Bose-Einstein condensates. Ultracold atom experiments explore a rich set of phenomena that will be used validate our theoretical techniques, then these techniques will be used to drive the discovery of new phenomena. Extensions of this theory to nuclear physics will ultimately be used to model superfluid vortex dynamics in neutron stars with the goal of understanding pulsar glitches - sudden increases in the spinning of neutron stars even though they continually lose angular momentum. This project will advance a broad range of fields, including atomic physics, condensed matter, non-linear optics, nuclear theory, and nuclear astrophysics. The research will result in publicly available codes for solving problems in quantum dynamics, presented in intuitive and interactive notebooks with video tutorials demonstrating how to use high-level programming languages to drive high-performance computers. These tools will significantly improve the infrastructure for research and education, educating researchers to effectively utilize medium to large scale computing resources for the advancement of science. Through this project, both undergraduate and graduate students will be trained with the analytical and high-performance computational skills to succeed in their future pursuits in academia, at national laboratories, and in industry.This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.
量子涡流 - 龙卷风的类似物 - 在中子恒星的动力学中起关键作用:宇宙中最密集的物体成为黑洞。令人惊讶的是,可以通过超电原子实验在地球上研究量子涡旋,比外太空的近十亿倍。这些实验可以调整为模仿中子星的许多方面,该项目将使它们被用作模拟量子计算机,以模拟核天体物理学中的湍流。通过超越经典计算机的当前局限性,这将迅速加速科学的进步,以40年历史的脉冲星毛刺神秘为目标。该计划结合了NSF的两个大想法,推进了量子模拟(量子LEAP),以最大程度地提高探测器投资回报率(宇宙上的Windows)。在NSF Ligo设施的下一轮重力波观测中,甚至可能会听到脉冲星故障,从而通过洞悉其微观性质来为核物理提供信息。除了进步基础科学外,该项目还将探索量子动力学,并使用潜在的量子设备应用程序,并开发可访问的编程模型,以帮助学生和研究人员更有效地利用国家投资在高性能计算(HPC)中推进科学发现的速度。最后,将开发一个超流体探索器应用程序,以帮助公众和学生欣赏量子行为,并更好地理解下一个量子革命的核心科学。本项目将提供计算有效的模型,以准确描述动态量子效应,包括来自分散性的负面质量量子,来自分散性的负相关关系,该关系与Spin-Orbit Coupled Bose-bose-ineinsteinsenstein Condensents一起工程。 Ultracold Atom实验探索将使用我们的理论技术的丰富现象,然后这些技术将用于推动发现新现象的发现。该理论向核物理学的扩展最终将用于模拟中子恒星中的超流体涡流动力学,目的是理解脉冲星的毛刺 - 尽管中子恒星不断失去角动量,但突然增加了中子恒星的旋转。该项目将推进广泛的领域,包括原子物理学,冷凝物质,非线性光学,核理论和核天体物理学。这项研究将导致公开可用的代码解决量子动态问题,并在直观和交互式笔记本上提供了视频教程,展示了如何使用高级编程语言来驱动高性能计算机。这些工具将显着改善研究和教育的基础设施,教育研究人员有效利用中等规模的计算资源来发展科学。通过这个项目,本科和研究生将接受分析和高性能的计算技能培训,以在其未来的学术界,国家实验室和行业中取得成功。这项奖项反映了NSF的法定任务,并被认为是通过基金会的智力优点和广泛的影响来评估CRITERIA的评估。
项目成果
期刊论文数量(2)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
Detecting entrainment in Fermi-Bose mixtures
检测费米-玻色混合物中的夹带
- DOI:10.1103/physreva.105.063315
- 发表时间:2022
- 期刊:
- 影响因子:2.9
- 作者:Hossain, Khalid;Gupta, Subhadeep;Forbes, Michael McNeil
- 通讯作者:Forbes, Michael McNeil
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Michael Forbes其他文献
Benders Decomposition with Delayed Disaggregation for the Active Passive Vehicle Routing Problem
主动被动车辆路径问题的延迟分解 Benders 分解
- DOI:
- 发表时间:
2024 - 期刊:
- 影响因子:6.4
- 作者:
Yannik Rist;Christian Tilk;Michael Forbes - 通讯作者:
Michael Forbes
Pupil-sparing third nerve palsies and hemiataxia: Claude’s and reverse Claude’s syndrome
- DOI:
10.1016/j.jocn.2015.12.010 - 发表时间:
2016-06-01 - 期刊:
- 影响因子:
- 作者:
James R. Bateman;Pavan Murty;Michael Forbes;Kisha Young Collier;Danoushka Tememe;Octavio de Marchena;William J. Powers - 通讯作者:
William J. Powers
Augmentation of CFTR maturation by S-nitrosoglutathione reductase 1 2
S-亚硝基谷胱甘肽还原酶促进 CFTR 成熟 1 2
- DOI:
- 发表时间:
2015 - 期刊:
- 影响因子:0
- 作者:
K. Zaman;Victoria Sawczak;Atiya Zaidi;Maya Butler;Deric Bennett;Paulina;Getsy;Maryam Zeinomar;Zivi Greenberg;Michael Forbes;Shagufta Rehman;Vinod;Jyothikumar;Kimberly Deronde;A. Sattar;Laura A. Smith;Deborah A. Corey;Adam;Straub;F. Sun;L. Palmer;A. Periasamy;S. Randell;T. Kelley;S. Lewis;B. Gaston - 通讯作者:
B. Gaston
IN GOLF PUTTING Examining visual and attentional focus influences on golf putting performance using a dual-task paradigm
在高尔夫推杆中使用双任务范例检查视觉和注意力焦点对高尔夫推杆表现的影响
- DOI:
- 发表时间:
2017 - 期刊:
- 影响因子:0
- 作者:
Michael Forbes - 通讯作者:
Michael Forbes
Michael Forbes的其他文献
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{{ truncateString('Michael Forbes', 18)}}的其他基金
Compressible Turbulence from Quantum to Classical
从量子到经典的可压缩湍流
- 批准号:
2309322 - 财政年份:2023
- 资助金额:
$ 27万 - 项目类别:
Standard Grant
CAREER: Algebraic and Geometric Complexity Theory
职业:代数和几何复杂性理论
- 批准号:
2047310 - 财政年份:2021
- 资助金额:
$ 27万 - 项目类别:
Continuing Grant
CRII: AF: Linear-Algebraic Pseudorandomness
CRII:AF:线性代数伪随机性
- 批准号:
1755921 - 财政年份:2018
- 资助金额:
$ 27万 - 项目类别:
Standard Grant
AF: Small: Challenges in Unconditional Pseudorandomness for Boolean Computation
AF:小:布尔计算无条件伪随机性的挑战
- 批准号:
1814788 - 财政年份:2018
- 资助金额:
$ 27万 - 项目类别:
Standard Grant
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