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Two-dimensional cooling without repump laser beams through ion motional heating 通过离子运动加热使激光束二维不重复冷却
IF 5.4 1区 物理与天体物理 Q1 PHYSICS, MULTIDISCIPLINARY Pub Date : 2024-12-27 DOI: 10.1038/s42005-024-01920-2
Yue Xiao, Yongxu Peng, Linfeng Chen, Chunhui Li, Zongao Song, Xin Wang, Tao Wang, Yurun Xie, Bin Zhao, Tiangang Yang
Laser cooling typically requires one or more repump lasers to clear dark states, which complicates experimental setups, especially for systems with multiple repumping frequencies. Here, we demonstrate cooling of Be+ ions using a single laser beam, enabled by micromotion-induced one-dimensional heating. By manipulating the displacement of Be+ ions from the trap’s nodal line, we precisely control the ion micromotion velocity, eliminating the necessity of a 1.25 GHz offset repump laser while keeping ions cold in the direction perpendicular to the micromotion. We use two equivalent schemes, cooling laser detuning and ion trajectory imaging to measure the speed of the Be+ ions, with results accurately reproduced by molecular dynamics simulations based on a machine learned time-dependent electric field inside the trap. This work provides a robust method to control micromotion velocity of ions and demonstrates the potential of micromotion-assisted laser cooling to simplify setups for systems requiring multiple repumping frequencies. Reducing the number of lasers in laser cooling experiments is beneficial for simplifying systems requiring multiple repumping frequencies. This work demonstrates micromotion-assisted cooling of Be+ ions with a single laser, eliminating the need for a 1.25 GHz offset repump laser, with results rigorously validated through molecular dynamics simulations.
激光冷却通常需要一个或多个再泵浦激光器来清除暗态,这使实验设置变得复杂,特别是对于具有多个再泵浦频率的系统。在这里,我们演示了利用微运动诱导的一维加热,使用单个激光束冷却Be+离子。通过控制Be+离子在阱节点线上的位移,我们精确地控制了离子的微运动速度,消除了1.25 GHz偏置泵浦激光器的必要性,同时保持了离子在垂直于微运动方向的冷态。我们使用两种等效方案,冷却激光失谐和离子轨迹成像来测量Be+离子的速度,并通过基于机器学习的陷阱内随时间变化的电场的分子动力学模拟精确地再现了结果。这项工作提供了一种强大的方法来控制离子的微运动速度,并展示了微运动辅助激光冷却的潜力,以简化需要多次泵送频率的系统的设置。减少激光冷却实验中激光器的数量有利于简化需要多次泵浦频率的系统。这项工作演示了用单激光器微运动辅助Be+离子冷却,消除了对1.25 GHz偏置泵浦激光器的需要,并通过分子动力学模拟严格验证了结果。
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引用次数: 0
DarkSide-20k sensitivity to light dark matter particles DarkSide-20k对轻暗物质粒子的灵敏度
IF 5.4 1区 物理与天体物理 Q1 PHYSICS, MULTIDISCIPLINARY Pub Date : 2024-12-26 DOI: 10.1038/s42005-024-01896-z
The DarkSide-20k Collaboration
The dual-phase liquid argon time projection chamber is presently one of the leading technologies to search for dark matter particles with masses below 10 GeV c−2. This was demonstrated by the DarkSide-50 experiment with approximately 50 kg of low-radioactivity liquid argon as target material. The next generation experiment DarkSide-20k, currently under construction, will use 1,000 times more argon and is expected to start operation in 2027. Based on the DarkSide-50 experience, here we assess the DarkSide-20k sensitivity to models predicting light dark matter particles, including Weakly Interacting Massive Particles (WIMPs) and sub-GeV c−2 particles interacting with electrons in argon atoms. With one year of data, a sensitivity improvement to dark matter interaction cross-sections by at least one order of magnitude with respect to DarkSide-50 is expected for all these models. A sensitivity to WIMP–nucleon interaction cross-sections below 1 × 10−42 cm2 is achievable for WIMP masses above 800 MeV c−2. With 10 years exposure, the neutrino fog can be reached for WIMP masses around 5 GeV c−2. The DarkSide-20k collaboration reports the sensitivity of its detector, currently under construction, to models predicting light dark matter particles. This includes Weakly Interacting Massive Particles and particles interacting with bound electrons of argon atoms.
双相液态氩时间投影室是目前寻找质量低于10 GeV c−2的暗物质粒子的主要技术之一。DarkSide-50实验用大约50公斤的低放射性液态氩作为目标材料证明了这一点。目前正在建设的下一代实验装置DarkSide-20k将使用1000倍以上的氩气,预计将于2027年开始运行。基于DarkSide-50的经验,我们评估了DarkSide-20k对轻暗物质粒子预测模型的灵敏度,包括弱相互作用大质量粒子(wimp)和亚gev c−2粒子与氩原子中的电子相互作用。有了一年的数据,预计所有这些模型对暗物质相互作用截面的灵敏度将比DarkSide-50至少提高一个数量级。对于质量在800 MeV c−2以上的WIMP,对1 × 10−42 cm2以下的WIMP -核子相互作用截面的灵敏度是可以实现的。经过10年的暴露,WIMP质量在5 GeV c−2左右的中微子雾可以达到。DarkSide-20k合作项目报告了目前正在建造的探测器对预测轻暗物质粒子模型的灵敏度。这包括弱相互作用的大质量粒子和与氩原子的束缚电子相互作用的粒子。
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引用次数: 0
Distorted insights from human mobility data 来自人类流动性数据的扭曲见解
IF 5.4 1区 物理与天体物理 Q1 PHYSICS, MULTIDISCIPLINARY Pub Date : 2024-12-24 DOI: 10.1038/s42005-024-01909-x
Riccardo Gallotti, Davide Maniscalco, Marc Barthelemy, Manlio De Domenico
The description of human mobility is at the core of many fundamental applications ranging from urbanism and transportation to epidemics containment. Data about human movements, once scarce, is now widely available thanks to new sources such as phone call detail records, GPS devices, or Smartphone apps. Nevertheless, it is still common to rely on a single dataset by implicitly assuming that the statistical properties observed are robust regardless of data gathering and processing techniques. Here, we test this assumption on a broad scale by comparing human mobility datasets obtained from 7 different data-sources, tracing 500+ millions individuals in 145 countries. We report wide quantifiable differences in the resulting mobility networks and in the displacement distribution. These variations impact processes taking place on these networks like epidemic spreading. Our results point to the need for disclosing the data processing and, overall, to follow good practices to ensure robust and reproducible results. Human mobility data is crucial for many applications, but researchers often rely on single datasets assuming universal validity. Comparing 7 diverse sources across 145 countries, we find significant differences in mobility patterns and networks, impacting applications like epidemic modeling and emphasizing the need for transparent data processing.
对人类流动性的描述是许多基本应用的核心,从城市规划和交通到流行病控制。由于电话详细记录、GPS设备或智能手机应用程序等新来源,曾经稀缺的人类运动数据现在已经广泛可用。尽管如此,通过隐含地假设所观察到的统计属性是稳健的,而不管数据收集和处理技术如何,依赖单个数据集仍然是常见的。在这里,我们通过比较从7个不同数据源获得的人类流动性数据集,在145个国家追踪了5亿多人,在更大范围内验证了这一假设。我们报告了由此产生的移动网络和位移分布中广泛的可量化差异。这些变化影响着发生在这些网络上的过程,比如流行病的传播。我们的结果表明,需要公开数据处理过程,总的来说,需要遵循良好的实践,以确保稳健和可重复的结果。人类流动性数据在许多应用中都是至关重要的,但研究人员往往依赖于假设普遍有效的单一数据集。通过比较145个国家的7个不同来源,我们发现流动模式和网络存在显著差异,影响了流行病建模等应用,并强调了透明数据处理的必要性。
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引用次数: 0
Electronic cooling via acoustic-enabled low-power compact heat exchanger 电子冷却通过声学启用低功耗紧凑型热交换器
IF 5.4 1区 物理与天体物理 Q1 PHYSICS, MULTIDISCIPLINARY Pub Date : 2024-12-23 DOI: 10.1038/s42005-024-01915-z
Junsheng Hou, Dongyu Li, Lei Huang, Li Ma, Xiong Zhao, Jinjia Wei, Nanjing Hao
Contactless acoustics provide a unique, flexible active means for phase-change heat transfer enhancement. However, the ultrasonic transducers used for conventional acoustic enhancement are bulky and unfavorable for integration, and the heat accumulation under high power is not conducive to long-term operation, with limited enhancement in the critical heat flux (CHF). Herein, an acoustic-enabled low-power compact heat exchanger (ALCHE) is proposed with low energy consumption and long operation duration. Based on image processing and bubble tracking algorithm, it is found that the acoustic field accelerates bubble detachment and migration for achieving superior heat flux and larger heat transfer coefficient (HTC). 1.5 kHz acoustic field performs better heat transfer performance due to its strong acoustic radiation force magnitude and excellent acoustic pressure field direction. The stronger acoustic radiation force from higher acoustic power promotes the heat transfer performance among different acoustic powers. Long-time stable operation of acoustic field enhanced heat transfer under high heat flux is achieved with low acoustic power. Our designed heat exchanger not only overcomes the limitation of traditional bulky transducers, but also provides insights into the acoustic-enabled flow boiling heat transfer process. Improving the cooling performance of high-power electronics in confined spaces remains a challenge. Herein, the authors propose an acoustic-enabled low-power compact heat exchanger that utilizes contactless acoustics as a flexible active means for enhancing phase change cooling.
非接触式声学为相变传热增强提供了一种独特、灵活的主动手段。然而,传统的超声增强换能器体积庞大,不利于集成,高功率下的热量积累不利于长期运行,对临界热流密度(CHF)的增强有限。本文提出了一种低能耗、长工作时间的声致小功率紧凑型热交换器。基于图像处理和气泡跟踪算法,发现声场加速了气泡的分离和迁移,从而获得更优的热流密度和更大的换热系数。1.5 kHz声场具有较强的声辐射力大小和优异的声压场方向,具有较好的换热性能。声功率越大,声辐射力越强,不同声功率间的换热性能越好。在低声功率条件下,实现了高热流密度下声场强化换热的长期稳定运行。我们设计的热交换器不仅克服了传统体积庞大的换能器的局限性,而且为声学驱动的流动沸腾传热过程提供了见解。提高高功率电子设备在密闭空间中的冷却性能仍然是一个挑战。在此,作者提出了一种声学支持的低功耗紧凑型热交换器,该热交换器利用非接触式声学作为增强相变冷却的灵活主动手段。
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引用次数: 0
Quantum origin of anomalous Floquet phases in cavity-QED materials 空腔-QED 材料中反常 Floquet 相的量子起源
IF 5.4 1区 物理与天体物理 Q1 PHYSICS, MULTIDISCIPLINARY Pub Date : 2024-12-21 DOI: 10.1038/s42005-024-01908-y
Beatriz Pérez-González, Gloria Platero, Álvaro Gómez-León
Anomalous Floquet topological phases are unique to periodically driven systems, lacking a static analog. Inspired by Floquet Engineering with classical electromagnetic radiation, Quantum Floquet Engineering has emerged as a promising tool to tailor the properties of quantum materials using quantum light. While the latter recovers the physics of Floquet materials in its semi-classical limit, the mapping between these two scenarios remains mysterious in many aspects. In this work, we discuss the emergence of quantum anomalous topological phases in cavity-QED materials, linking the topological phase transitions in the electron-photon spectrum with those in the 0- and π-gaps of Floquet quasienergies. Our results establish the microscopic origin of an emergent discrete time-translation symmetry in the matter sector, and link isolated c-QED materials with periodically driven ones. Finally, we discuss the bulk-edge correspondence in terms of hybrid light-matter topological invariants. Non-equilibrium systems subject to periodic driving fields, known as Floquet materials, can host unique topological phases without static counterpart. This work targets the link between Floquet physics and cavity-QED systems, and unveils the emergence of quantum anomalous phases in the latter, pointing to the important entangled light-matter dynamics.
异常Floquet拓扑相位是周期性驱动系统所特有的,缺乏静态模拟。受经典电磁辐射Floquet工程的启发,量子Floquet工程已经成为利用量子光定制量子材料特性的一种有前途的工具。虽然后者在半经典极限下恢复了Floquet材料的物理特性,但这两种情况之间的映射在许多方面仍然是神秘的。在这项工作中,我们讨论了在腔qed材料中量子反常拓扑相的出现,将电子-光子谱中的拓扑相变与Floquet准能的0-和π-间隙中的拓扑相变联系起来。我们的研究结果建立了物质扇区中出现的离散时间平移对称的微观起源,并将孤立的c-QED材料与周期性驱动的材料联系起来。最后,我们从混合光-物质拓扑不变量的角度讨论了体边对应。受周期性驱动场影响的非平衡系统,称为Floquet材料,可以拥有没有静态对应的独特拓扑相。这项工作的目标是Floquet物理和腔- qed系统之间的联系,并揭示了后者中量子反常相的出现,指出了重要的纠缠光-物质动力学。
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引用次数: 0
Channel-resolved wavefunctions of transverse magnetic focusing 横向磁聚焦的通道分辨波函数
IF 5.4 1区 物理与天体物理 Q1 PHYSICS, MULTIDISCIPLINARY Pub Date : 2024-12-20 DOI: 10.1038/s42005-024-01902-4
Seokyeong Lee, Dongsung T. Park, Uhjin Kim, Hwanchul Jung, Yunchul Chung, Hyoungsoon Choi, Hyung Kook Choi
Transverse magnetic focusing (TMF) is a staple technique in mesoscopic physics, used to study quasiparticles in a manner akin to mass spectrometry. However, the quantum nature of TMF has been difficult to appreciate due to several challenges in addressing the wavelike properties of the quasiparticles. Here, we report a numerical solution and experimental demonstration of the TMF wavefunction for the multichannel case, implemented using quantum point contacts in a two-dimensional electron gas. The wavefunctions could be understood as transverse modes of the emitter tracing a classical trajectory, and the geometric origins of multichannel effects were easily intuited from this simple picture. We believe our results may correspond to a near-field regime of TMF, in contrast to a far-field regime where the well-established semiclassical results are valid. Based on disorder analysis, we expect these results will apply to a wide range of realistic devices, suggesting that spatially coherent features even at the wavelength scale can be appreciated from TMF. Transverse magnetic focusing (TMF) has been widely used in mesoscopic physics, yet its quantum mechanical properties remain difficult to fully appreciate. Here, the authors present a numerical solution of TMF, analysed with channel-resolution and compared against experimental data, to expose the multichannel signatures of the TMF wavefunction.
横向磁聚焦(TMF)是介观物理学中的一项主要技术,用于研究准粒子,类似于质谱法。然而,由于在处理准粒子的波状性质方面的几个挑战,TMF的量子性质一直难以理解。在这里,我们报告了多通道情况下TMF波函数的数值解和实验演示,使用二维电子气体中的量子点接触实现。波函数可以理解为发射器沿经典轨迹的横模,从这幅简单的图中很容易直观地看出多通道效应的几何起源。我们相信我们的结果可能对应于TMF的近场状态,而不是远场状态,在远场状态下,已建立的半经典结果是有效的。基于失序分析,我们期望这些结果将适用于广泛的现实器件,这表明即使在波长尺度上也可以从TMF中获得空间相干特征。横向磁聚焦(TMF)在介观物理中得到了广泛的应用,但其量子力学性质仍然难以完全理解。在这里,作者提出了一个TMF的数值解,用通道分辨率进行了分析,并与实验数据进行了比较,揭示了TMF波函数的多通道特征。
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引用次数: 0
High-energy tunable ultraviolet pulses generated by optical leaky wave in filamentation 丝状光漏波产生的高能可调紫外线脉冲
IF 5.4 1区 物理与天体物理 Q1 PHYSICS, MULTIDISCIPLINARY Pub Date : 2024-12-20 DOI: 10.1038/s42005-024-01910-4
Litong Xu, Tingting Xi
Ultraviolet pulses could open up new opportunities for the study of strong-field physics and ultrafast science. However, the existing methods for generating ultraviolet pulses face difficulties in fulfilling the twofold requirements of high energy and wavelength tunability simultaneously. Here, we theoretically demonstrate the generation of high-energy and wavelength tunable ultraviolet pulses in preformed gas-plasma channels via the leaky wave emission. The output ultraviolet pulse has a tunable wavelength ranging from 91 nm to 430 nm, and an energy level up to sub-mJ. Such a high-energy tunable ultraviolet light source may provide promising opportunities for characterization of ultrafast phenomena, and also an important driving source for the generation of high-energy attosecond pulses. High-energy ultraviolet pulses serve as unique light sources for strong-field physics and ultrafast science. The authors theoretically demonstrate the generation of ultraviolet pulses with sub-mJ level energy via optical leaky wave in filamentation, where preformed gasplasma channels are used to provide adjustable dispersion conditions that enable a widely tunable wavelength range of the ultraviolet pulses.
紫外脉冲可以为强场物理和超快科学的研究开辟新的机会。然而,现有的产生紫外脉冲的方法难以同时满足高能量和波长可调性的双重要求。在这里,我们从理论上证明了通过泄漏波发射在预制的气体等离子体通道中产生高能量和波长可调的紫外线脉冲。输出的紫外线脉冲具有可调的波长范围从91 nm到430 nm,和能级高达亚mj。这种高能可调谐紫外光源为表征超快现象提供了很好的机会,也是产生高能阿秒脉冲的重要驱动源。高能紫外脉冲是强场物理和超快科学的独特光源。作者从理论上证明了通过光泄漏波在灯丝中产生亚mj能级的紫外脉冲,其中预制的气等离子体通道用于提供可调的色散条件,使紫外脉冲的波长范围可调。
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引用次数: 0
Collective excitations and low-energy ionization signatures of relativistic particles in silicon detectors 硅探测器中相对论粒子的集体激发和低能电离特征
IF 5.4 1区 物理与天体物理 Q1 PHYSICS, MULTIDISCIPLINARY Pub Date : 2024-12-19 DOI: 10.1038/s42005-024-01904-2
Rouven Essig, Ryan Plestid, Aman Singal
Solid-state detectors with a low energy threshold have several applications, including searches of non-relativistic halo dark-matter particles with sub-GeV masses. When searching for relativistic, beyond-the-Standard-Model particles with enhanced cross sections for small energy transfers, a small detector with a low energy threshold may have better sensitivity than a larger detector with a higher energy threshold. In this paper, we calculate the low-energy ionization spectrum from high-velocity particles scattering in a dielectric material. We consider the full material response including the excitation of bulk plasmons. We generalize the energy-loss function to relativistic kinematics, and benchmark existing tools used for halo dark-matter scattering against electron energy-loss spectroscopy data. Compared to calculations commonly used in the literature, such as the Photo-Absorption-Ionization model or the free-electron model, including collective effects shifts the recoil ionization spectrum towards higher energies, typically peaking around 4–6 electron-hole pairs. We apply our results to the three benchmark examples: millicharged particles produced in a beam, neutrinos with a magnetic dipole moment produced in a reactor, and upscattered dark-matter particles. Our results show that the proper inclusion of collective effects typically enhances a detector’s sensitivity to these particles, since detector backgrounds, such as dark counts, peak at lower energies. The authors calculate the low-energy excitation cross section for relativistic feebly interacting particles scattering from silicon detectors. This enables a search for millicharged particles using data collected by the SENSEI detector and opens a new path for applications of low-threshold semi-conductor detectors to search for new physics.
具有低能量阈值的固态探测器有几种应用,包括搜索质量低于gev的非相对论性晕暗物质粒子。当寻找相对的、超越标准模型的、具有增强截面的小能量转移粒子时,具有低能量阈值的小型探测器可能比具有较高能量阈值的大型探测器具有更好的灵敏度。本文计算了高速粒子在介质中散射的低能电离谱。我们考虑了包括体等离子激元激发在内的全材料响应。我们将能量损失函数推广到相对论运动学中,并根据电子能量损失谱数据对晕状暗物质散射的现有工具进行了基准测试。与文献中常用的计算方法(如光吸收-电离模型或自由电子模型)相比,包括集体效应在内的计算方法将反冲电离谱向高能量方向移动,通常在4-6个电子-空穴对左右达到峰值。我们将结果应用于三个基准例子:在束流中产生的带电粒子,在反应堆中产生的具有磁偶极矩的中微子,以及向上散射的暗物质粒子。我们的结果表明,适当地包含集体效应通常会提高探测器对这些粒子的灵敏度,因为探测器背景,如暗计数,在较低的能量下达到峰值。作者计算了从硅探测器散射的相对论性弱相互作用粒子的低能激发截面。这使得使用SENSEI探测器收集的数据搜索带电粒子成为可能,并为低阈值半导体探测器的应用开辟了一条新的道路,以搜索新的物理。
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引用次数: 0
Laser excitation of the 1S–2S transition in singly-ionized helium 单电离氦中1S-2S跃迁的激光激发
IF 5.4 1区 物理与天体物理 Q1 PHYSICS, MULTIDISCIPLINARY Pub Date : 2024-12-19 DOI: 10.1038/s42005-024-01891-4
Elmer L. Gründeman, Vincent Barbé, Andrés Martínez de Velasco, Charlaine Roth, Mathieu Collombon, Julian J. Krauth, Laura S. Dreissen, Richard Taïeb, Kjeld S. E. Eikema
Laser spectroscopy of atomic hydrogen and hydrogen-like atoms is a powerful tool for tests of fundamental physics. The 1S–2S transition of hydrogen in particular is a cornerstone for stringent Quantum Electrodynamics (QED) tests and for an accurate determination of the Rydberg constant. We report laser excitation of the 1S–2S transition in singly-ionized helium (3He+), a hydrogen-like ion with much higher sensitivity to QED than hydrogen itself. The transition requires two-photon excitation in the challenging extreme ultraviolet wavelength range, which we achieve with a tabletop coherent laser system suitable for precision spectroscopy. The transition is excited by combining an ultrafast amplified pulse at 790 nm (derived from a frequency comb laser) with its 25th harmonic at 32 nm (produced by high-harmonic generation). The results are well described by our simulations and we achieve a sizable 2S excitation fraction of 10−4 per pulse, paving the way for future precision studies. A measurement of the 1S-2S transition frequency in He+ would enable fundamental physics tests, but the required extreme ultraviolet radiation makes this a challenge. The authors observe such transition using radiation produced by high-harmonic generation of frequency comb pulses, in a manner that is compatible with future precision spectroscopy.
原子氢和类氢原子的激光光谱是基础物理测试的有力工具。特别是氢的1S-2S跃迁是严格的量子电动力学(QED)测试和精确测定里德伯常数的基石。我们报道了单电离氦(3He+)的1S-2S跃迁的激光激发,这是一种比氢本身对QED的灵敏度高得多的类氢离子。这种转变需要在极紫外波长范围内的双光子激发,我们用适合精密光谱的桌面相干激光系统实现了这一目标。这种跃迁是通过结合790nm的超快放大脉冲(来自频率梳激光器)和32nm的25次谐波(由高谐波产生)来激发的。我们的模拟结果很好地描述了我们的结果,并且我们实现了每个脉冲10−4的相当大的2S激励分数,为未来的精确研究铺平了道路。测量He+中的1S-2S跃迁频率将使基础物理测试成为可能,但所需的极端紫外线辐射使这成为一个挑战。作者使用频率梳状脉冲的高谐波产生的辐射来观察这种转变,这种方式与未来的精密光谱学兼容。
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引用次数: 0
Reservoir direct feedback alignment: deep learning by physical dynamics 储层直接反馈对准:物理动力学深度学习
IF 5.4 1区 物理与天体物理 Q1 PHYSICS, MULTIDISCIPLINARY Pub Date : 2024-12-19 DOI: 10.1038/s42005-024-01895-0
Mitsumasa Nakajima, Yongbo Zhang, Katsuma Inoue, Yasuo Kuniyoshi, Toshikazu Hashimoto, Kohei Nakajima
The rapid advancement of deep learning has motivated various analog computing devices for energy-efficient non-von Neuman computing. While recent demonstrations have shown their excellent performance, particularly in the inference phase, computation of training using analog hardware is still challenging due to the complexity of training algorithms such as backpropagation. Here, we present an alternative training algorithm that combines two emerging concepts: reservoir computing (RC) and biologically inspired training. Instead of backpropagated errors, the proposed method computes the error projection using nonlinear dynamics (i.e., reservoir), which is highly suitable for physical implementation because it only requires a single passive dynamical system with a smaller number of nodes. Numerical simulation with Lyapunov analysis showed some interesting features of our proposed algorithm itself: the reservoir basically should be selected to satisfy the echo-state-property; but even chaotic dynamics can be used for the training when its time scale is below the Lyapunov time; and the performance is maximized near the edge of chaos, which is similar to standard RC framework. Furthermore, we experimentally demonstrated the training of feedforward neural networks by using an optoelectronic reservoir computer. Our approach provides an alternative solution for deep learning computation and its physical acceleration. Existing training algorithms for deep neural networks are not suitable for energy-efficient analog hardware. Here, the authors propose and experimentally demonstrate an alternative training algorithm based on reservoir computing, which improves training efficiency in optoelectronic implementations.
深度学习的快速发展推动了各种模拟计算设备的节能非冯·诺伊曼计算。虽然最近的演示显示了它们的优异性能,特别是在推理阶段,但由于训练算法(如反向传播)的复杂性,使用模拟硬件进行训练的计算仍然具有挑战性。在这里,我们提出了一种替代训练算法,它结合了两个新兴概念:储层计算(RC)和生物启发训练。该方法使用非线性动力学(即储层)计算误差投影,而不是反向传播误差,这非常适合物理实现,因为它只需要一个节点数量较少的单一被动动力系统。Lyapunov分析的数值模拟显示了本文算法本身的一些有趣的特点:水库的选择基本上要满足回声状态属性;但当时间尺度低于李雅普诺夫时间时,甚至可以使用混沌动力学进行训练;在混沌边缘附近性能最大化,这与标准RC框架相似。此外,我们还通过实验证明了利用光电水库计算机对前馈神经网络进行训练。我们的方法为深度学习计算及其物理加速提供了另一种解决方案。现有的深度神经网络训练算法不适合高能效的模拟硬件。在此,作者提出并实验证明了一种基于储层计算的替代训练算法,该算法提高了光电实现中的训练效率。
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