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Chirped Pulses Meet Quantum Dots: Innovations, Challenges, and Future Perspectives 啁啾脉冲与量子点:创新、挑战与未来展望
Pub Date : 2024-01-09 DOI: 10.1002/qute.202300352
Florian Kappe, Yusuf Karli, Grant Wilbur, Ria G. Krämer, Sayan Ghosh, René Schwarz, Moritz Kaiser, Thomas K. Bracht, Doris E. Reiter, Stefan Nolte, Kimberley C. Hall, Gregor Weihs, Vikas Remesh
Shaped laser pulses have been remarkably effective in investigating various aspects of light–matter interactions spanning a broad range of research. Chirped laser pulses exhibiting a time-varying frequency, or quadratic spectral phase, form a crucial category in the group of shaped laser pulses. This type of pulses have made a ubiquitous presence from spectroscopic applications to developments in high-power laser technology, and from nanophotonics to quantum optical communication, ever since their introduction. In the case of quantum technologies recently, substantial efforts are being invested toward achieving a truly scalable architecture. Concurrently, it is important to develop methods to produce robust photon sources. In this context, semiconductor quantum dots hold great potential, due to their exceptional photophysical properties and on-demand operating nature. Concerning the scalability aspect of semiconductor quantum dots, it is advantageous to develop a simple, yet robust method to generate photon states from it. Chirped pulse excitation has been widely demonstrated as a robust and efficient state preparation scheme in quantum dots, thereby boosting its applicability as a stable photon source in a real-world scenario. Despite the rapid growth and advancements in laser technologies, the generation and control of chirped laser pulses can be demanding. Here, an overview of a selected few approaches is presented to tailor and characterize chirped pulses for the efficient excitation of a quantum dot source. By taking the chirped-pulse-induced adiabatic rapid passage process in quantum dot as an example, numerical design examples are presented along with experimental advantages and challenges in each method and conclude with an outlook on future perspectives.
异形激光脉冲在研究光与物质相互作用的各个方面有着显著的效果,其研究范围十分广泛。啁啾激光脉冲具有时变频率或二次光谱相位,是异形激光脉冲中的一个重要类别。自问世以来,从光谱应用到高功率激光技术的发展,从纳米光子学到量子光通信,这类脉冲无处不在。就量子技术而言,最近正在投入大量精力,以实现真正可扩展的架构。与此同时,重要的是要开发出生产稳健光子源的方法。在这种情况下,半导体量子点因其卓越的光物理特性和按需运行的性质而具有巨大的潜力。考虑到半导体量子点的可扩展性,开发一种简单而稳健的方法来生成光子态是非常有利的。啁啾脉冲激发已被广泛证明是量子点中一种稳健高效的状态制备方案,从而提高了其作为稳定光子源在现实世界中的适用性。尽管激光技术发展迅速、日新月异,但啁啾激光脉冲的产生和控制仍然要求很高。在此,我们将概述几种精选的方法,以定制和表征用于量子点源高效激发的啁啾脉冲。以量子点中啁啾脉冲诱导的绝热快速通过过程为例,介绍了数值设计实例以及每种方法的实验优势和挑战,最后对未来前景进行了展望。
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引用次数: 0
Implementation Security in Quantum Key Distribution 量子密钥分发的实施安全性
Pub Date : 2024-01-07 DOI: 10.1002/qute.202300380
Víctor Zapatero, Álvaro Navarrete, Marcos Curty
The problem of implementation security in quantum key distribution (QKD) refers to the difficulty of meeting the requirements of mathematical security proofs in real-life QKD systems. Here, a succint review is provided on this topic, focusing on discrete-variable QKD setups. Particularly, some of their main vulnerabilities and comments are disscused on possible approaches to overcome them.
量子密钥分发(QKD)的实施安全问题是指在现实生活中的 QKD 系统中难以满足数学安全证明的要求。在此,我们将对这一主题进行简要评述,重点关注离散变量 QKD 设置。特别是其中的一些主要漏洞,以及克服这些漏洞的可能方法。
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引用次数: 0
Broadband Spectroscopy and Interferometry with Undetected Photons at Strong Parametric Amplification 在强参量放大条件下使用未检测到的光子进行宽带光谱学和干涉测量
Pub Date : 2023-12-24 DOI: 10.1002/qute.202300299
Kazuki Hashimoto, Dmitri B. Horoshko, Maria V. Chekhova
Nonlinear interferometry with entangled photons allows for characterizing a sample without detecting the photons interacting with it. This method enables highly sensitive optical sensing in the wavelength regions where efficient detectors are still under development. Recently, nonlinear interferometry has been applied to interferometric measurement techniques with broadband light sources, such as Fourier-transform infrared spectroscopy and infrared optical coherence tomography. However, they have been demonstrated with photon pairs produced through spontaneous parametric down-conversion (SPDC) at a low parametric gain, where the average number of photons per mode is much smaller than one. The regime of high-gain SPDC offers several important advantages, such as the amplification of light after its interaction with the sample and a large number of photons per mode at the interferometer output. This work presents broadband spectroscopy and high-resolution optical coherence tomography with undetected photons generated via high-gain SPDC in an aperiodically poled lithium niobate crystal. To prove the principle, reflective Fourier-transform near-infrared spectroscopy with a spectral bandwidth of 17 THz and optical coherence tomography with an axial resolution of 11 µm are demonstrated.
利用纠缠光子进行非线性干涉测量,可以在不探测与样品相互作用的光子的情况下确定样品的特性。这种方法可以在高效探测器仍在开发的波长区域实现高灵敏度的光学传感。最近,非线性干涉测量法已被应用于宽带光源干涉测量技术,如傅立叶变换红外光谱和红外光相干断层扫描。不过,这些技术都是在低参数增益条件下通过自发参数下变频(SPDC)产生的光子对进行演示的,在低参数增益条件下,每个模式的平均光子数远远小于 1。高增益 SPDC 机制具有几个重要优势,例如光与样品相互作用后会被放大,以及干涉仪输出端每个模式的光子数较多。这项工作介绍了在非周期性极化铌酸锂晶体中通过高增益 SPDC 产生的未检测光子进行宽带光谱分析和高分辨率光学相干断层扫描的情况。为了证明其原理,演示了光谱带宽为 17 太赫兹的反射式傅立叶变换近红外光谱仪和轴向分辨率为 11 微米的光学相干断层成像仪。
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引用次数: 0
A General Approach to Dropout in Quantum Neural Networks 量子神经网络中的脱落问题的一般解决方法
Pub Date : 2023-12-10 DOI: 10.1002/qute.202300220
Francesco Scala, Andrea Ceschini, Massimo Panella, Dario Gerace
In classical machine learning (ML), “overfitting” is the phenomenon occurring when a given model learns the training data excessively well, and it thus performs poorly on unseen data. A commonly employed technique in ML is the so called “dropout,” which prevents computational units from becoming too specialized, hence reducing the risk of overfitting. With the advent of quantum neural networks (QNNs) as learning models, overfitting might soon become an issue, owing to the increasing depth of quantum circuits as well as multiple embedding of classical features, which are employed to give the computational nonlinearity. Here, a generalized approach is presented to apply the dropout technique in QNN models, defining and analyzing different quantum dropout strategies to avoid overfitting and achieve a high level of generalization. This study allows to envision the power of quantum dropout in enabling generalization, providing useful guidelines on determining the maximal dropout probability for a given model, based on overparametrization theory. It also highlights how quantum dropout does not impact the features of the QNN models, such as expressibility and entanglement. All these conclusions are supported by extensive numerical simulations and may pave the way to efficiently employing deep quantum machine learning (QML) models based on state-of-the-art QNNs.
在经典机器学习(ML)中,"过拟合 "是指给定模型对训练数据的学习效果过好,从而在未见数据上表现不佳的现象。ML 中常用的一种技术是所谓的 "丢弃"(dropout),它可以防止计算单元过于专业化,从而降低过拟合的风险。随着作为学习模型的量子神经网络(QNNs)的出现,由于量子电路的深度不断增加以及经典特征的多重嵌入,过拟合可能很快就会成为一个问题。本文提出了一种在量子网络模型中应用剔除技术的通用方法,定义并分析了不同的量子剔除策略,以避免过拟合并实现高水平的泛化。通过这项研究,我们可以预见量子剔除技术在实现泛化方面的威力,并根据超参数化理论,为确定给定模型的最大剔除概率提供了有用的指导。研究还强调了量子剔除如何不影响 QNN 模型的特性,如可表达性和纠缠性。所有这些结论都得到了大量数值模拟的支持,并可能为高效采用基于最先进 QNN 的深度量子机器学习(QML)模型铺平道路。
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引用次数: 0
Benefits of Open Quantum Systems for Quantum Machine Learning 开放式量子系统对量子机器学习的益处
Pub Date : 2023-12-10 DOI: 10.1002/qute.202300247
María Laura Olivera-Atencio, Lucas Lamata, Jesús Casado-Pascual
Quantum machine learning (QML) is a discipline that holds the promise of revolutionizing data processing and problem-solving. However, dissipation and noise arising from the coupling with the environment are commonly perceived as major obstacles to its practical exploitation, as they impact the coherence and performance of the utilized quantum devices. Significant efforts have been dedicated to mitigating and controlling their negative effects on these devices. This perspective takes a different approach, aiming to harness the potential of noise and dissipation instead of combating them. Surprisingly, it is shown that these seemingly detrimental factors can provide substantial advantages in the operation of QML algorithms under certain circumstances. Exploring and understanding the implications of adapting QML algorithms to open quantum systems opens up pathways for devising strategies that effectively leverage noise and dissipation. The recent works analyzed in this perspective represent only initial steps toward uncovering other potential hidden benefits that dissipation and noise may offer. As exploration in this field continues, significant discoveries are anticipated that could reshape the future of quantum computing.
量子机器学习(QML)是一门有望彻底改变数据处理和问题解决方式的学科。然而,与环境耦合产生的耗散和噪声通常被认为是其实际利用的主要障碍,因为它们会影响所使用量子设备的一致性和性能。人们一直致力于减轻和控制它们对这些器件的负面影响。本研究从另一个角度出发,旨在利用噪声和耗散的潜力,而不是与它们作斗争。令人惊讶的是,在某些情况下,这些看似有害的因素却能为 QML 算法的运行带来巨大优势。探索和理解 QML 算法对开放量子系统的影响,为设计有效利用噪声和耗散的策略开辟了道路。本视角中分析的最新研究成果只是揭示耗散和噪声可能带来的其他潜在隐性优势的第一步。随着这一领域探索的不断深入,预计将会有重大发现,重塑量子计算的未来。
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引用次数: 0
Quantum Metrology in the Noisy Intermediate-Scale Quantum Era 噪声中尺度量子时代的量子计量
Pub Date : 2023-11-27 DOI: 10.1002/qute.202300218
Lin Jiao, Wei Wu, Si-Yuan Bai, Jun-Hong An
Quantum metrology pursues the physical realization of higher-precision measurements to physical quantities than the classically achievable limit by exploiting quantum features, such as entanglement and squeezing, as resources. It has potential applications in developing next-generation frequency standards, magnetometers, radar, and navigation. However, the ubiquitous decoherence in the quantum world degrades the quantum resources and forces the precision back to or even worse than the classical limit, which is called the no-go theorem of noisy quantum metrology and greatly hinders its applications. Therefore, how to realize the promised performance of quantum metrology in realistic noisy situations attracts much attention in recent years. The principle, categories, and applications of quantum metrology are reviewed. Special attention is paid to different quantum resources that can bring quantum superiority in enhancing sensitivity. Then, the no-go theorem of noisy quantum metrology and its active control under different kinds of noise-induced decoherence situations are introduced.
量子计量学通过利用量子特征(如纠缠和压缩)作为资源,追求对物理量的更高精度测量的物理实现,而不是经典可实现的极限。它在开发下一代频率标准、磁力计、雷达和导航方面具有潜在的应用。然而,量子世界中普遍存在的退相干性降低了量子资源,迫使精度回到甚至低于经典极限,这被称为噪声量子计量学的不去定理,极大地阻碍了其应用。因此,如何在现实的噪声环境中实现量子计量的预期性能是近年来备受关注的问题。综述了量子计量的原理、分类和应用。特别关注了不同的量子资源,可以带来量子优势,提高灵敏度。然后,介绍了噪声量子计量的不去定理及其在各种噪声诱导退相干情况下的主动控制。
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引用次数: 0
Toward a Laser-Free Diamond Magnetometer for Microwave Fields 微波场无激光金刚石磁力计的研制
Pub Date : 2023-11-22 DOI: 10.1002/qute.202300191
Pengju Zhao, Haodong Wang, Fei Kong, Zhecheng Wang, Yuhang Guo, Huiyao Yu, Fazhan Shi, Jiangfeng Du
The nitrogen-vacancy (NV) center in diamond is a unique magnetometer. Its atomic size enables integrations of a tremendous amount (nNV) of NV centers in a bulk diamond with a sensitivity scaling as 1/nNV�$1/sqrt {n_{rm NV}}$�. However, such a bulk sensor requires a high-power laser to polarize and read out the NV centers. The increasing thermal damage and additional noises associated with high-power lasers hinder the growth of nNV, and thus limit the sensitivity at picotesla level. Here, it shows a relaxometry-based microwave magnetometer that the power density is determined by the relaxation time T1. By cooling the diamond sensor to prolong the T1 (≈s), the required power density further reduces to 0.077Wcm2�$0.077nobreakspace {rm Wcm^{-2}}$�, 106�$approx 10^{-6}$� of the saturation value. This work paves the way for the utilization of large-size diamond to promote the sensitivity of diamond magnetometer to femtotesla level and beyond.
金刚石中的氮空位中心是一种独特的磁强计。它的原子尺寸可以将大量的NV中心集成在块体金刚石中,灵敏度缩放为1/nNV $1/sqrt {n_{rm NV}}$。然而,这种体积传感器需要高功率激光来偏振并读出NV中心。与高功率激光相关的热损伤和附加噪声的增加阻碍了nNV的生长,从而限制了在皮特斯拉水平上的灵敏度。如图所示,一个基于弛豫测量的微波磁强计,其功率密度由弛豫时间T1决定。通过冷却金刚石传感器延长T1(≈s),所需功率密度进一步降低至0.077Wcm−2 $0.077nobreakspace {rm Wcm^{-2}}$,为饱和值的≈10−6 $approx 10^{-6}$。本工作为大尺寸金刚石的利用,将金刚石磁强计的灵敏度提高到飞特斯拉级及以上奠定了基础。
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引用次数: 0
Physiological Search for Quantum Biological Sensing Effects Based on the Wigner–Yanase Connection between Coherence and Uncertainty 基于相干与不确定性Wigner-Yanase关系的量子生物传感效应的生理研究
Pub Date : 2023-11-16 DOI: 10.1002/qute.202300292
Iannis K. Kominis
A fundamental concept of quantum physics, the Wigner–Yanase information, is used here as a measure of quantum coherence in spin-dependent radical-pair reactions pertaining to biological magnetic sensing. This measure is connected to the uncertainty of the reaction yields and, further, to the statistics of a cellular receptor-ligand system used to biochemically convey magnetic-field changes. Measurable physiological quantities, such as the number of receptors and fluctuations in ligand concentration, are shown to reflect the introduced Wigner–Yanase measure of singlet-triplet coherence. A quantum-biological uncertainty relation connecting the product of a biological resource and a biological figure of merit with the Wigner–Yanase coherence is arrived at. This approach can serve as a general search for quantum-coherent effects within cellular environments.
量子物理学的一个基本概念,Wigner-Yanase信息,在这里被用作与生物磁传感有关的自旋依赖的自由基对反应中的量子相干性的度量。这一测量与反应产率的不确定性有关,而且与用于生化传递磁场变化的细胞受体-配体系统的统计数据有关。可测量的生理数量,如受体的数量和配体浓度的波动,被证明反映了引入的Wigner-Yanase测量单线态-三重态一致性。将生物资源的产物和具有Wigner-Yanase相干性的生物图形连接起来的量子-生物不确定性关系得到了实现。这种方法可以作为对细胞环境中量子相干效应的一般搜索。
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引用次数: 0
Direct-Laser-Written Polymer Nanowire Waveguides for Broadband Single Photon Collection from Epitaxial Quantum Dots into a Gaussian-like Mode 用于外延量子点类高斯模式宽带单光子采集的直接激光写入聚合物纳米线波导
Pub Date : 2023-11-16 DOI: 10.1002/qute.202300149
Edgar F. Perez, Cori Haws, Marcelo Davanco, Jindong Song, Luca Sapienza, Kartik Srinivasan
Single epitaxial quantum dots (QDs) embedded in nanophotonic geometries are a leading technology for quantum light generation. However, efficiently coupling their emission into a single mode fiber or Gaussian beam often remains challenging. Here, direct laser writing (DLW) is used to address this challenge by fabricating 1 µm diameter polymer nanowires (PNWs) in-contact-with and perpendicular-to a QD-containing GaAs layer. QD emission is coupled to the PNW's HE11�$HE_{11}$� waveguide mode, enhancing collection efficiency into a single-mode fiber. PNW fabrication does not alter the QD device layer, making PNWs well-suited for augmenting pre-existing in-plane geometries. Standalone PNWs and PNWs in conjunction with metallic nanoring devices that have been previously established for increasing extraction of QD emission are studied. Methods that mitigate standing wave reflections and heat, caused by GaAs's absorption/reflection of the lithography beam, and which otherwise prevent PNW fabrication, are also reported. A maximum improvement of (3.0±0.7)×�$3.0nobreakspace pm nobreakspace 0.7)times$� in a nanoring system with a PNW compared to the same system without a PNW is observed, in line with numerical results, and highlighting the PNW's ability to waveguide QD emission and increase collection efficiency simultaneously. These results demonstrate new DLW functionality in service of quantum emitter photonics that maintains compatibility with existing top-down fabrication approaches.
嵌入纳米光子几何结构的单外延量子点(QDs)是量子光产生的领先技术。然而,有效地将它们的发射耦合到单模光纤或高斯光束中仍然是一个挑战。在这里,直接激光写入(DLW)通过制造1 μ m直径的聚合物纳米线(PNWs)来解决这一挑战,这些纳米线与含有量子点的砷化镓层接触并垂直。QD发射与PNW的HE11$HE_{11}$波导模式耦合,提高了单模光纤的收集效率。PNW的制造不会改变QD器件层,使得PNW非常适合于增加已有的平面内几何形状。本文研究了独立的PNWs和与金属纳米环装置结合的PNWs,这些装置已被建立用于增加量子点发射的提取。此外,还报道了减轻由GaAs吸收/反射光刻光束引起的驻波反射和热量的方法,否则会阻碍PNW的制造。与不使用PNW的纳米系统相比,使用PNW的纳米系统的最大改进为(3.0±0.7)×$3.0nobreakspace pm nobreakspace 0.7)times$,与数值结果一致,突出了PNW波导波导量子点发射和同时提高收集效率的能力。这些结果证明了新的DLW功能在量子发射器光子学服务中保持了与现有的自顶向下制造方法的兼容性。
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引用次数: 0
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Advanced Quantum Technologies
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