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Statistical Quantifiers Resolve a Nuclear Theory Controversy 统计量化器解决核理论争议
Q2 Physics and Astronomy Pub Date : 2022-02-22 DOI: 10.3390/quantum4010009
D. Monteoliva, A. Plastino, A. Plastino
We deal here with an exactly solvable N-nucleon system that has been used to mimic typical features of quantum many-body systems. There is in the literature some controversy regarding the possible existence of a quantum phase transition in the model. We show here that an appeal to a suitable statistical quantifier called thermal efficiency puts an end to the controversy.
我们这里处理的是一个精确可解的n -核子系统,它被用来模拟量子多体系统的典型特征。关于模型中可能存在的量子相变,文献中存在一些争议。我们在这里表明,呼吁一个合适的统计量词称为热效率结束了争议。
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引用次数: 1
Quantum Neurobiology 量子神经生物学
Q2 Physics and Astronomy Pub Date : 2022-02-13 DOI: 10.3390/quantum4010008
M. Swan, R. D. Dos Santos, Frank Witte
Quantum neurobiology is concerned with potential quantum effects operating in the brain and the application of quantum information science to neuroscience problems, the latter of which is the main focus of the current paper. The human brain is fundamentally a multiscalar problem, with complex behavior spanning nine orders of magnitude-scale tiers from the atomic and cellular level to brain networks and the central nervous system. In this review, we discuss a new generation of bio-inspired quantum technologies in the emerging field of quantum neurobiology and present a novel physics-inspired theory of neural signaling (AdS/Brain (anti-de Sitter space)). Three tiers of quantum information science-directed neurobiology applications can be identified. First are those that interpret empirical data from neural imaging modalities (EEG, MRI, CT, PET scans), protein folding, and genomics with wavefunctions and quantum machine learning. Second are those that develop neural dynamics as a broad approach to quantum neurobiology, consisting of superpositioned data modeling evaluated with quantum probability, neural field theories, filamentary signaling, and quantum nanoscience. Third is neuroscience physics interpretations of foundational physics findings in the context of neurobiology. The benefit of this work is the possibility of an improved understanding of the resolution of neuropathologies such as Alzheimer’s disease.
量子神经生物学关注大脑中潜在的量子效应,以及量子信息科学在神经科学问题中的应用,后者是本文的主要重点。人类大脑本质上是一个多标量问题,复杂的行为跨越九个数量级,从原子和细胞水平到大脑网络和中枢神经系统。在这篇综述中,我们讨论了量子神经生物学新兴领域的新一代生物启发量子技术,并提出了一种新的物理启发神经信号理论(AdS/Brain (anti-de Sitter space))。量子信息科学导向的神经生物学应用可以分为三个层次。首先是那些用波函数和量子机器学习解释神经成像模式(EEG, MRI, CT, PET扫描),蛋白质折叠和基因组学的经验数据的人。第二种是将神经动力学发展为量子神经生物学的广泛方法,包括用量子概率、神经场理论、纤维信号传导和量子纳米科学评估的叠加数据建模。第三是在神经生物学的背景下对基础物理发现的神经科学物理学解释。这项工作的好处是有可能提高对阿尔茨海默病等神经病理学解决方案的理解。
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引用次数: 3
Acknowledgment to Reviewers of Quantum Reports in 2021 向2021年量子报告审稿人致谢
Q2 Physics and Astronomy Pub Date : 2022-02-10 DOI: 10.3390/quantum4010007
Rigorous peer-reviews are the basis of high-quality academic publishing [...]
严谨的同行评审是高质量学术出版的基础〔…〕
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引用次数: 0
Optimal Tuning of Quantum Generative Adversarial Networks for Multivariate Distribution Loading 多变量分布负载下量子生成对抗性网络的优化调谐
Q2 Physics and Astronomy Pub Date : 2022-02-09 DOI: 10.3390/quantum4010006
Gabriele Agliardi, E. Prati
Loading data efficiently from classical memories to quantum computers is a key challenge of noisy intermediate-scale quantum computers. Such a problem can be addressed through quantum generative adversarial networks (qGANs), which are noise tolerant and agnostic with respect to data. Tuning a qGAN to balance accuracy and training time is a hard task that becomes paramount when target distributions are multivariate. Thanks to our tuning of the hyper-parameters and of the optimizer, the training of qGAN reduces, on average, the Kolmogorov–Smirnov statistic of 43–64% with respect to the state of the art. The ability to reach optima is non-trivially affected by the starting point of the search algorithm. A gap arises between the optimal and sub-optimal training accuracy. We also point out that the simultaneous perturbation stochastic approximation (SPSA) optimizer does not achieve the same accuracy as the Adam optimizer in our conditions, thus calling for new advancements to support the scaling capability of qGANs.
有效地将数据从经典存储器加载到量子计算机是噪声中等规模量子计算机的一个关键挑战。这样的问题可以通过量子生成对抗性网络(qGANs)来解决,该网络对数据具有噪声容忍和不可知性。调整qGAN以平衡准确性和训练时间是一项艰巨的任务,当目标分布是多元的时,这项任务变得至关重要。由于我们对超参数和优化器的调整,qGAN的训练相对于现有技术平均减少了43–64%的Kolmogorov–Smirnov统计量。达到最优的能力不受搜索算法起点的影响。最佳和次优训练精度之间出现差距。我们还指出,在我们的条件下,同时扰动随机近似(SPSA)优化器没有达到与Adam优化器相同的精度,因此需要新的进步来支持qGAN的缩放能力。
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引用次数: 17
Thermodynamics and Inflammation: Insights into Quantum Biology and Ageing 热力学与炎症:量子生物学与衰老
Q2 Physics and Astronomy Pub Date : 2022-02-03 DOI: 10.3390/quantum4010005
A. Nunn, G. Guy, Julie Dee Bell
Inflammation as a biological concept has been around a long time and derives from the Latin “to set on fire” and refers to the redness and heat, and usually swelling, which accompanies injury and infection. Chronic inflammation is also associated with ageing and is described by the term “inflammaging”. Likewise, the biological concept of hormesis, in the guise of what “does not kill you, makes you stronger”, has long been recognized, but in contrast, seems to have anti-inflammatory and age-slowing characteristics. As both phenomena act to restore homeostasis, they may share some common underlying principles. Thermodynamics describes the relationship between heat and energy, but is also intimately related to quantum mechanics. Life can be viewed as a series of self-renewing dissipative structures existing far from equilibrium as vortexes of “negentropy” that ages and dies; but, through reproduction and speciation, new robust structures are created, enabling life to adapt and continue in response to ever changing environments. In short, life can be viewed as a natural consequence of thermodynamics to dissipate energy to restore equilibrium; each component of this system is replaceable. However, at the molecular level, there is perhaps a deeper question: is life dependent on, or has it enhanced, quantum effects in space and time beyond those normally expected at the atomistic scale and temperatures that life operates at? There is some evidence it has. Certainly, the dissipative adaptive mechanism described by thermodynamics is now being extended into the quantum realm. Fascinating though this topic is, does exploring the relationship between quantum mechanics, thermodynamics, and biology give us a greater insight into ageing and, thus, medicine? It could be said that hormesis and inflammation are expressions of thermodynamic and quantum principles that control ageing via natural selection that could operate at all scales of life. Inflammation could be viewed as a mechanism to remove inefficient systems in response to stress to enable rebuilding of more functional dissipative structures, and hormesis as the process describing the ability to adapt; underlying this is the manipulation of fundamental quantum principles. Defining what “quantum biological normality” is has been a long-term problem, but perhaps we do not need to, as it is simply an expression of one end of the normal quantum mechanical spectrum, implying that biology could inform us as to how we can define the quantum world.
炎症作为一个生物学概念已经存在很长时间了,起源于拉丁语“放火”,指的是伴随损伤和感染的红肿,通常是肿胀。慢性炎症也与衰老有关,被称为“炎症”。同样,以“不会杀死你,让你更强壮”为幌子的兴奋症的生物学概念早已得到认可,但相比之下,它似乎具有抗炎和延缓衰老的特征。由于这两种现象都有恢复体内平衡的作用,它们可能有一些共同的基本原理。热力学描述热量和能量之间的关系,但也与量子力学密切相关。生命可以被视为一系列自我更新的耗散结构,这些耗散结构作为“负熵”的旋涡存在于远离平衡的地方,并随着年龄的增长而消亡;但是,通过繁殖和物种形成,新的坚固结构被创造出来,使生命能够适应并继续应对不断变化的环境。简而言之,生命可以被视为热力学耗散能量以恢复平衡的自然结果;这个系统的每个部件都是可更换的。然而,在分子水平上,也许还有一个更深层次的问题:生命在空间和时间上是否依赖于量子效应,或者它是否增强了量子效应,超过了在原子尺度和生命运行温度下通常预期的量子效应?它有一些证据。当然,热力学描述的耗散自适应机制现在正在扩展到量子领域。尽管这个话题很有趣,但探索量子力学、热力学和生物学之间的关系是否能让我们对衰老以及医学有更深入的了解?可以说,兴奋和炎症是热力学和量子原理的表达,这些原理通过自然选择控制衰老,可以在生命的各个阶段发挥作用。炎症可以被视为一种机制,以消除对压力的低效系统,从而重建更具功能的耗散结构,而兴奋是描述适应能力的过程;这背后是对基本量子原理的操纵。定义什么是“量子生物学常态”一直是一个长期的问题,但也许我们不需要这样做,因为它只是正常量子力学光谱一端的表达,这意味着生物学可以告诉我们如何定义量子世界。
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引用次数: 5
Simple Analytical Expression of the Voigt Profile Voigt剖面的简单解析表达式
Q2 Physics and Astronomy Pub Date : 2022-01-28 DOI: 10.3390/quantum4010004
S. Chib, A. Belafhal
This work examines several analytical evaluations of the Voigt profile, which is a convolution of the Gaussian and Lorentzian profiles, theoretically and numerically. Mathematical derivations are performed concisely to illustrate some closed forms of the considered profile. A representation in terms of special function and a simple and interesting approximation of the Voigt function are well demonstrated, which could have promising applications in several fields of physics, e.g., atmospheric radiative transfer, neutron reactions, molecular spectroscopy, plasma waves, and astrophysical spectroscopy.
这项工作从理论和数值上考察了Voigt剖面的几个分析评估,Voigt是高斯和洛伦兹剖面的卷积。简明地进行数学推导,以说明所考虑轮廓的一些闭合形式。Voigt函数的特殊函数表示和简单而有趣的近似得到了很好的证明,这可能在几个物理领域有很好的应用,例如大气辐射传输、中子反应、分子光谱、等离子体波和天体物理光谱。
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引用次数: 0
Exact Time Evolution of Genuine Multipartite Correlations for N-Qubit Systems in a Common Thermal Reservoir 普通热储中n -量子位系统真多部相关的精确时间演化
Q2 Physics and Astronomy Pub Date : 2022-01-15 DOI: 10.3390/quantum4010003
Abhinash Kumar Roy, Sourabh Magare, Varun Srivastava, P. Panigrahi
We investigate the dynamical evolution of genuine multipartite correlations for N-qubits in a common reservoir considering a non-dissipative qubits-reservoir model. We derive an exact expression for the time-evolved density matrix by modeling the reservoir as a set of infinite harmonic oscillators with a bilinear form of interaction Hamiltonian. Interestingly, we find that the choice of two-level systems corresponding to an initially correlated multipartite state plays a significant role in potential robustness against environmental decoherence. In particular, the generalized W-class Werner state shows robustness against the decoherence for an equivalent set of qubits, whereas a certain generalized GHZ-class Werner state shows robustness for inequivalent sets of qubits. It is shown that the genuine multipartite concurrence (GMC), a measure of multipartite entanglement of an initially correlated multipartite state, experiences an irreversible decay of correlations in the presence of a thermal reservoir. For the GHZ-class Werner state, the region of mixing parameters for which there exists GMC, shrinks with time and with increase in the temperature of the thermal reservoir. Furthermore, we study the dynamical evolution of the relative entropy of coherence and von-Neumann entropy for the W-class Werner state.
考虑非耗散量子位-储层模型,我们研究了n-量子位在普通储层中真实多部相关的动态演化。通过将储层建模为一组具有双线性相互作用哈密顿量的无限谐振子,推导出随时间演化的密度矩阵的精确表达式。有趣的是,我们发现与初始相关的多部状态相对应的两级系统的选择在对抗环境退相干的潜在鲁棒性中起着重要作用。特别地,广义w类Werner状态对等值量子位的退相干表现出鲁棒性,而某些广义ghz类Werner状态对不等值量子位的退相干表现出鲁棒性。研究表明,真正的多部并发(GMC),一个最初相关的多部态的多部纠缠的度量,在热储的存在下经历了不可逆的相关性衰减。对于ghz级Werner状态,存在GMC的混合参数区域随时间和储层温度的升高而缩小。此外,我们还研究了w类Werner态相干相对熵和冯-诺伊曼熵的动态演化。
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引用次数: 2
Polarization in Quasirelativistic Graphene Model with Topologically Non-Trivial Charge Carriers 拓扑非平凡载流子的准相对论石墨烯模型的极化
Q2 Physics and Astronomy Pub Date : 2021-11-30 DOI: 10.3390/quantum4010001
H. Grushevskaya, G. Krylov
Within the earlier developed high-energy-k→·p→-Hamiltonian approach to describe graphene-like materials, the simulations of band structure, non-Abelian Zak phases and the complex conductivity of graphene have been performed. The quasi-relativistic graphene model with a number of flavors (gauge fields) NF=3 in two approximations (with and without a pseudo-Majorana mass term) has been utilized as a ground for the simulations. It has been shown that Zak-phases set for the non-Abelian Majorana-like excitations (modes) in graphene represent the cyclic Z12 and this group is deformed into a smaller one Z8 at sufficiently high momenta due to a deconfinement of the modes. Simulations of complex longitudinal low-frequency conductivity have been performed with a focus on effects of spatial dispersion. A spatial periodic polarization in the graphene models with the pseudo Majorana charge carriers is offered.
在早期开发的高能-k→·p→-用哈密顿方法描述类石墨烯材料,模拟了石墨烯的能带结构、非阿贝尔Zak相和复电导率。准相对论性石墨烯模型具有两个近似值(有和没有伪马略拉纳质量项)中的许多味道(规范场)NF=3,已被用作模拟的基础。已经表明,为石墨烯中的非Abelian Majorana类激发(模式)设置的Zak相表示环状Z12,并且由于模式的去约束,该组在足够高的动量下变形为较小的Z8。对复杂的纵向低频电导率进行了模拟,重点是空间色散的影响。在具有伪Majorana电荷载流子的石墨烯模型中提供了空间周期极化。
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引用次数: 2
Casimir Effect between Superconducting Plates in the Mixed State 混合态超导板间的卡西米尔效应
Q2 Physics and Astronomy Pub Date : 2021-11-29 DOI: 10.3390/quantum3040046
N. Inui
The Casimir effect between type-II superconducting plates in the coexisting phase of a superconducting phase and a normal phase is investigated. The dependence of the optical conductivity of the superconducting plates on the external magnetic field is described in terms of the penetration depth of the incident electromagnetic field, and the permittivity along the imaginary axis is represented by a linear combination of the permittivities for the plasma model and Drude models. The characteristic frequency in each model is determined using the force parameters for the motion of the magnetic field vortices. The Casimir force between parallel YBCO plates in the mixed state is calculated, and the dependence on the applied magnetic field and temperature is considered.
研究了ii型超导板在超导相与正常相共存时的卡西米尔效应。用入射电磁场的穿透深度描述了超导板的光学导电性与外磁场的关系,并将虚轴上的介电常数表示为等离子体模型和德鲁德模型的介电常数的线性组合。利用磁场涡旋运动的力参数确定各模型的特征频率。计算了混合状态下平行YBCO板间的卡西米尔力,考虑了卡西米尔力与外加磁场和温度的关系。
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引用次数: 0
Microscopic Dynamic Mechanism of Irreversible Thermodynamic Equilibration of Crystals 晶体不可逆热力学平衡的微观动力学机制
Q2 Physics and Astronomy Pub Date : 2021-11-01 DOI: 10.3390/quantum3040045
A. Zakharov, M. Zakharov
The dynamics of free and forced vibrations of a chain of particles are investigated in a harmonic model taking into account the retardation of interactions between atoms. It is found that the retardation of interactions between particles leads to the non-existence of stationary free vibrations of the crystal lattice. It is shown that in the case of a stable lattice, forced vibrations, regardless of the initial conditions, pass into a stationary regime. A non-statistical dynamic mechanism of the irreversible thermodynamic equilibration is proposed.
在考虑原子间相互作用延迟的调和模型中,研究了粒子链的自由振动和强迫振动动力学。发现粒子间相互作用的延迟导致晶格不存在固定的自由振动。结果表明,在稳定晶格的情况下,无论初始条件如何,强迫振动都会进入静止状态。提出了不可逆热力学平衡的非统计动力学机理。
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引用次数: 2
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Quantum Reports
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