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Exploring dynamical phase transitions with cold atoms in an optical cavity 期刊论文
NATURE, 2020, 580 (7805) : 602-+
作者:  Halbach, Rebecca;  Miesen, Pascal;  Joosten, Joep;  Taskopru, Ezgi;  Rondeel, Inge;  Pennings, Bas;  Vogels, Chantal B. F.;  Merkling, Sarah H.;  Koenraadt, Constantianus J.;  Lambrechts, Louis;  van Rij, Ronald P.
收藏  |  浏览/下载:20/0  |  提交时间:2020/07/03

Interactions between light and an ensemble of strontium atoms in an optical cavity can serve as a testbed for studying dynamical phase transitions, which are currently not well understood.


Interactions between atoms and light in optical cavities provide a means of investigating collective (many-body) quantum physics in controlled environments. Such ensembles of atoms in cavities have been proposed for studying collective quantum spin models, where the atomic internal levels mimic a spin degree of freedom and interact through long-range interactions tunable by changing the cavity parameters(1-4). Non-classical steady-state phases arising from the interplay between atom-light interactions and dissipation of light from the cavity have previously been investigated(5-11). These systems also offer the opportunity to study dynamical phases of matter that are precluded from existence at equilibrium but can be stabilized by driving a system out of equilibrium(12-16), as demonstrated by recent experiments(17-22). These phases can also display universal behaviours akin to standard equilibrium phase transitions(8,23,24). Here, we use an ensemble of about a million strontium-88 atoms in an optical cavity to simulate a collective Lipkin-Meshkov-Glick model(25,26), an iconic model in quantum magnetism, and report the observation of distinct dynamical phases of matter in this system. Our system allows us to probe the dependence of dynamical phase transitions on system size, initial state and other parameters. These observations can be linked to similar dynamical phases in related systems, including the Josephson effect in superfluid helium(27), or coupled atomic(28) and solid-state polariton(29) condensates. The system itself offers potential for generation of metrologically useful entangled states in optical transitions, which could permit quantum enhancement in state-of-the-art atomic clocks(30,31).


  
Fundamental bounds on the fidelity of sensory cortical coding 期刊论文
NATURE, 2020
作者:  Rempel, S.;  Gati, C.;  Nijland, M.;  Thangaratnarajah, C.;  Karyolaimos, A.;  de Gier, J. W.;  Guskov, A.;  Slotboom, D. J.
收藏  |  浏览/下载:27/0  |  提交时间:2020/07/03

How the brain processes information accurately despite stochastic neural activity is a longstanding question(1). For instance, perception is fundamentally limited by the information that the brain can extract from the noisy dynamics of sensory neurons. Seminal experiments(2,3) suggest that correlated noise in sensory cortical neural ensembles is what limits their coding accuracy(4-6), although how correlated noise affects neural codes remains debated(7-11). Recent theoretical work proposes that how a neural ensemble'  s sensory tuning properties relate statistically to its correlated noise patterns is a greater determinant of coding accuracy than is absolute noise strength(12-14). However, without simultaneous recordings from thousands of cortical neurons with shared sensory inputs, it is unknown whether correlated noise limits coding fidelity. Here we present a 16-beam, two-photon microscope to monitor activity across the mouse primary visual cortex, along with analyses to quantify the information conveyed by large neural ensembles. We found that, in the visual cortex, correlated noise constrained signalling for ensembles with 800-1,300 neurons. Several noise components of the ensemble dynamics grew proportionally to the ensemble size and the encoded visual signals, revealing the predicted information-limiting correlations(12-14). Notably, visual signals were perpendicular to the largest noise mode, which therefore did not limit coding fidelity. The information-limiting noise modes were approximately ten times smaller and concordant with mouse visual acuity(15). Therefore, cortical design principles appear to enhance coding accuracy by restricting around 90% of noise fluctuations to modes that do not limit signalling fidelity, whereas much weaker correlated noise modes inherently bound sensory discrimination.


A microscopy system that enables simultaneous recording from hundreds of neurons in the mouse visual cortex reveals that the brain enhances its coding capacity by representing visual inputs in dimensions perpendicular to correlated noise.


  
Bias adjustment and ensemble recalibration methods for seasonal forecasting: a comprehensive intercomparison using the C3S dataset 期刊论文
CLIMATE DYNAMICS, 2019, 53: 1287-1305
作者:  Manzanas, R.;  Gutierrez, J. M.;  Bhend, J.;  Hemri, S.;  Doblas-Reyes, F. J.;  Torralba, V.;  Penabad, E.;  Brookshaw, A.
收藏  |  浏览/下载:13/0  |  提交时间:2019/11/27
Seasonal forecasting  C3S  Bias adjustment  Ensemble recalibration  Forecast quality  Reliability  Ensemble size  Hindcast length  
A statistical approach to radar rainfall estimates using polarimetric variables 期刊论文
ATMOSPHERIC RESEARCH, 2018, 209: 65-75
作者:  You, C. -H.;  Kang, M. -Y.;  Hwang, Y.;  Yee, J. -J.;  Jang, M.;  Lee, D-I.
收藏  |  浏览/下载:16/0  |  提交时间:2019/04/09
Polarimetric variables  Drop size distribution  Multicollinearity  Rainfall estimation  Ensemble member  
Role of the Atlantic Multidecadal Variability in modulating the climate response to a Pinatubo-like volcanic eruption 期刊论文
CLIMATE DYNAMICS, 2018, 51: 1863-1883
作者:  Menegoz, Martin;  Cassou, Christophe;  Swingedouw, Didier;  Ruprich-Robert, Yohan;  Bretonniere, Pierre-Antoine;  Doblas-Reyes, Francisco
收藏  |  浏览/下载:12/0  |  提交时间:2019/04/09
Volcanic eruptions  Climate dynamics  North Atlantic Oscillation  Atlantic multidecadal variability  Ensemble size  Climate model  
Uncertainty assessment for climate change impact on intense precipitation: how many model runs do we need? 期刊论文
INTERNATIONAL JOURNAL OF CLIMATOLOGY, 2017, 37
作者:  Hosseinzadehtalaei, Parisa;  Tabari, Hossein;  Willems, Patrick
收藏  |  浏览/下载:16/0  |  提交时间:2019/04/09
extreme precipitation  CMIP5 GCM  ensemble size  uncertainty analysis  sensitivity analysis