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Submicrosecond entangling gate between trapped ions via Rydberg interaction 期刊论文
NATURE, 2020, 580 (7803) : 345-+
作者:  Chatterjee, Sourav;  Guidi, Mara;  Seeberger, Peter H.;  Gilmore, Kerry
收藏  |  浏览/下载:17/0  |  提交时间:2020/07/03

Generating quantum entanglement in large systems on timescales much shorter than the coherence time is key to powerful quantum simulation and computation. Trapped ions are among the most accurately controlled and best isolated quantum systems(1) with low-error entanglement gates operated within tens of microseconds using the vibrational motion of few-ion crystals(2,3). To exceed the level of complexity tractable by classical computers the main challenge is to realize fast entanglement operations in crystals made up of many ions (large ion crystals)(4). The strong dipole-dipole interactions in polar molecule(5) and Rydberg atom(6,7) systems allow much faster entangling gates, yet stable state-independent confinement comparable with trapped ions needs to be demonstrated in these systems(8). Here we combine the benefits of these approaches: we report a two-ion entangling gate with 700-nanosecond gate time that uses the strong dipolar interaction between trapped Rydberg ions, which we use to produce a Bell state with 78 per cent fidelity. The sources of gate error are identified and a total error of less than 0.2 per cent is predicted for experimentally achievable parameters. Furthermore, we predict that residual coupling to motional modes contributes an approximate gate error of 10(-4) in a large ion crystal of 100 ions. This provides a way to speed up and scale up trapped-ion quantum computers and simulators substantially.


  
Nagaoka ferromagnetism observed in a quantum dot plaquette 期刊论文
NATURE, 2020, 579 (7800) : 528-533
作者:  Yu, Yong;  Ma, Fei;  Luo, Xi-Yu;  Jing, Bo;  Sun, Peng-Fei;  Fang, Ren-Zhou;  Yang, Chao-Wei;  Liu, Hui;  Zheng, Ming-Yang;  Xie, Xiu-Ping;  Zhang, Wei-Jun;  You, Li-Xing;  Wang, Zhen;  Chen, Teng-Yun;  Zhang, Qiang;  Bao, Xiao-Hui;  Pan, Jian-Wei
收藏  |  浏览/下载:31/0  |  提交时间:2020/07/03

A quantum dot device designed to host four electrons is used to demonstrate Nagaoka ferromagnetism-a model of itinerant magnetism that has so far been limited to theoretical investigation.


Engineered, highly controllable quantum systems are promising simulators of emergent physics beyond the simulation capabilities of classical computers(1). An important problem in many-body physics is itinerant magnetism, which originates purely from long-range interactions of free electrons and whose existence in real systems has been debated for decades(2,3). Here we use a quantum simulator consisting of a four-electron-site square plaquette of quantum dots(4) to demonstrate Nagaoka ferromagnetism(5). This form of itinerant magnetism has been rigorously studied theoretically(6-9) but has remained unattainable in experiments. We load the plaquette with three electrons and demonstrate the predicted emergence of spontaneous ferromagnetic correlations through pairwise measurements of spin. We find that the ferromagnetic ground state is remarkably robust to engineered disorder in the on-site potentials and we can induce a transition to the low-spin state by changing the plaquette topology to an open chain. This demonstration of Nagaoka ferromagnetism highlights that quantum simulators can be used to study physical phenomena that have not yet been observed in any experimental system. The work also constitutes an important step towards large-scale quantum dot simulators of correlated electron systems.


  
In situ NMR metrology reveals reaction mechanisms in redox flow batteries 期刊论文
NATURE, 2020, 579 (7798) : 224-+
作者:  Ma, Jianfei;  You, Xin;  Sun, Shan;  Wang, Xiaoxiao;  Qin, Song;  Sui, Sen-Fang
收藏  |  浏览/下载:13/0  |  提交时间:2020/07/03

Large-scale energy storage is becoming increasingly critical to balancing renewable energy production and consumption(1). Organic redox flow batteries, made from inexpensive and sustainable redox-active materials, are promising storage technologies that are cheaper and less environmentally hazardous than vanadium-based batteries, but they have shorter lifetimes and lower energy density(2,3). Thus, fundamental insight at the molecular level is required to improve performance(4,5). Here we report two in situ nuclear magnetic resonance (NMR) methods of studying redox flow batteries, which are applied to two redox-active electrolytes: 2,6-dihydroxyanthraquinone (DHAQ) and 4,4 '  -((9,10-anthraquinone-2,6-diyl)dioxy) dibutyrate (DBEAQ). In the first method, we monitor the changes in the H-1 NMR shift of the liquid electrolyte as it flows out of the electrochemical cell. In the second method, we observe the changes that occur simultaneously in the positive and negative electrodes in the full electrochemical cell. Using the bulk magnetization changes (observed via the H-1 NMR shift of the water resonance) and the line broadening of the H-1 shifts of the quinone resonances as a function of the state of charge, we measure the potential differences of the two single-electron couples, identify and quantify the rate of electron transfer between the reduced and oxidized species, and determine the extent of electron delocalization of the unpaired spins over the radical anions. These NMR techniques enable electrolyte decomposition and battery self-discharge to be explored in real time, and show that DHAQ is decomposed electrochemically via a reaction that can be minimized by limiting the voltage used on charging. We foresee applications of these NMR methods in understanding a wide range of redox processes in flow and other electrochemical systems.


  
Classification with a disordered dopantatom network in silicon 期刊论文
NATURE, 2020, 577 (7790) : 341-+
作者:  Vagnozzi, Ronald J.;  Maillet, Marjorie;  Sargent, Michelle A.;  Khalil, Hadi;  Johansen, Anne Katrine Z.;  Schwanekamp, Jennifer A.;  York, Allen J.;  Huang, Vincent;  Nahrendorf, Matthias;  Sadayappan, Sakthivel;  Molkentin, Jeffery D.
收藏  |  浏览/下载:24/0  |  提交时间:2020/07/03

Classification is an important task at which both biological and artificial neural networks excel(1,2). In machine learning, nonlinear projection into a high-dimensional feature space can make data linearly separable(3,4), simplifying the classification of complex features. Such nonlinear projections are computationally expensive in conventional computers. A promising approach is to exploit physical materials systems that perform this nonlinear projection intrinsically, because of their high computational density(5), inherent parallelism and energy efficiency(6,7). However, existing approaches either rely on the systems'  time dynamics, which requires sequential data processing and therefore hinders parallel computation(5,6,8), or employ large materials systems that are difficult to scale up(7). Here we use a parallel, nanoscale approach inspired by filters in the brain(1) and artificial neural networks(2) to perform nonlinear classification and feature extraction. We exploit the nonlinearity of hopping conduction(9-11) through an electrically tunable network of boron dopant atoms in silicon, reconfiguring the network through artificial evolution to realize different computational functions. We first solve the canonical two-input binary classification problem, realizing all Boolean logic gates(12) up to room temperature, demonstrating nonlinear classification with the nanomaterial system. We then evolve our dopant network to realize feature filters(2) that can perform four-input binary classification on the Modified National Institute of Standards and Technology handwritten digit database. Implementation of our material-based filters substantially improves the classification accuracy over that of a linear classifier directly applied to the original data(13). Our results establish a paradigm of silicon-based electronics for smallfootprint and energy-efficient computation(14).


  
Signatures of self-organized criticality in an ultracold atomic gas 期刊论文
NATURE, 2020, 577 (7791) : 481-+
作者:  MacPherson, Laura;  Anokye, Juliana;  Yeung, Miriam M.;  Lam, Enid Y. N.;  Chan, Yih-Chih;  Weng, Chen-Fang;  Yeh, Paul;  Knezevic, Kathy;  Butler, Miriam S.;  Hoegl, Annabelle;  Chan, Kah-Lok;  Burr, Marian L.;  Gearing, Linden J.;  Willson, Tracy;  Liu, Joy;  Choi, Jarny;  Yang, Yuqing;  Bilardi, Rebecca A.;  Falk, Hendrik;  Nghi Nguyen;  Stupple, Paul A.;  Peat, Thomas S.;  Zhang, Ming;  De Silva, Melanie;  Carrasco-Pozo, Catalina;  Avery, Vicky M.;  Khoo, Sim;  Dolezal, Olan;  Dennis, Matthew L.;  Nuttall, Stewart;  Surjadi, Regina;  Newman, Janet;  Ren, Bin;  Leaver, David J.;  Sun, Yuxin;  Baell, Jonathan B.;  Dovey, Oliver;  Vassiliou, George S.;  Grebien, Florian;  Dawson, Sarah-Jane;  Street, Ian P.;  Monahan, Brendon J.;  Burns, Christopher J.;  Choudhary, Chunaram;  Blewitt, Marnie E.;  Voss, Anne K.;  Thomas, Tim;  Dawson, Mark A.
收藏  |  浏览/下载:25/0  |  提交时间:2020/07/03

Self-organized criticality is an elegant explanation of how complex structures emerge and persist throughout nature(1), and why such structures often exhibit similar scale-invariant properties(2-9). Although self-organized criticality is sometimes captured by simple models that feature a critical point as an attractor for the dynamics(10-15), the connection to real-world systems is exceptionally hard to test quantitatively(16-21). Here we observe three key signatures of self-organized criticality in the dynamics of a driven-dissipative gas of ultracold potassium atoms: self-organization to a stationary state that is largely independent of the initial conditions  scale-invariance of the final density characterized by a unique scaling function  and large fluctuations of the number of excited atoms (avalanches) obeying a characteristic power-law distribution. This work establishes a well-controlled platform for investigating self-organization phenomena and non-equilibrium criticality, with experimental access to the underlying microscopic details of the system.


A driven-dissipative gas of ultracold potassium atoms is used to demonstrate three key signatures of self-organized criticality, and provides a system in which the phenomenon can be experimentally tested.


  
Trends in Persistent Seasonal-Scale Atmospheric Circulation Patterns Responsible for Seasonal Precipitation Totals and Occurrences of Precipitation Extremes over Canada 期刊论文
JOURNAL OF CLIMATE, 2019, 32 (21) : 7105-7126
作者:  Tan, Xuezhi;  Gan, Thian Yew;  Chen, Shu;  Horton, Daniel E.;  Chen, Xiaohong;  Liu, Bingjun;  Lin, Kairong
收藏  |  浏览/下载:12/0  |  提交时间:2019/11/27
North America  Large-scale motions  Mesoscale systems  Stratospheric circulation  Climate variability  Moisture  moisture budget  
Solar PV mini-grids versus large-scale embedded PV generation: A case study of Uttar Pradesh (India) 期刊论文
ENERGY POLICY, 2019, 128: 36-44
作者:  Bhattacharyya, Subhes C.;  Palit, Debajit;  Sarangi, Gopal K.;  Srivastava, Vivek;  Sharma, Prerna
收藏  |  浏览/下载:8/0  |  提交时间:2019/11/26
Solar mini-grids  Large-scale solar PV  Viability  Rural electrification  Support systems  
Environments of Long-Lived Mesoscale Convective Systems Over the Central United States in Convection Permitting Climate Simulations 期刊论文
JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES, 2017, 122 (24)
作者:  Yang, Qing;  Houze, Robert A.;  Leung, L. Ruby;  Feng, Zhe
收藏  |  浏览/下载:6/0  |  提交时间:2019/04/09
mesoscale convective systems  large-scale environment  long-lived MCS  convection permitting modeling  MCS-circulation interactions  central United States  
Optimizing Multireservoir System Operating Policies Using Exogenous Hydrologic Variables 期刊论文
WATER RESOURCES RESEARCH, 2017, 53 (11)
作者:  Pina, Jasson;  Tilmant, Amaury;  Cote, Pascal
收藏  |  浏览/下载:4/0  |  提交时间:2019/04/09
reservoir operation  dynamic programming  large-scale systems  stochastic dual dynamic programming  
Social and ecological effectiveness of large marine protected areas 期刊论文
GLOBAL ENVIRONMENTAL CHANGE-HUMAN AND POLICY DIMENSIONS, 2017, 43
作者:  Ban, Natalie C.;  Davies, Tammy E.;  Aguilera, Stacy E.;  Brooks, Cassandra;  Cox, Michael;  Epstein, Graham;  Evans, Louisa S.;  Maxwell, Sara M.;  Nenadovic, Mateja
收藏  |  浏览/下载:8/0  |  提交时间:2019/04/09
Large-scale marine protected areas  Common pool resources  Social-ecological systems  Governance  Marine conservation