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The phenomenological linear response theory of non-Markovian Stochastic Resonance (SR) is put forward for stationary two-state renewal processes. In terms of a derivation of a non-Markov regression theorem we evaluate the characteristic…

Statistical Mechanics · Physics 2007-05-23 Igor Goychuk , Peter Hanggi

Raman spectroscopy stands as a cornerstone technique for probing collective excitations and emergent quantum phases in solids. While polarization-resolved Raman scattering has been widely used to extract symmetry information of eigenmodes,…

Materials Science · Physics 2026-02-24 Di Cheng , Junxiang Li , Shizhuo Luo , Zehao Chen , Xinwei Li

Stochastic resonance (SR) is a well known phenomenon in dynamical systems. It consists of the amplification and optimization of the response of a system assisted by stochastic noise. Here we carry out the first experimental study of SR in…

Biological Physics · Physics 2012-12-12 K. Hayashi , S. de Lorenzo , M. Manosas , J. M. Huguet , F. Ritort

This work presents a statistical mechanics characterization of neural networks, motivated by the replica symmetry breaking (RSB) phenomenon in spin glasses. A Hopfield-type spin glass model is constructed from a given feedforward neural…

Disordered Systems and Neural Networks · Physics 2025-08-12 Jun Li

Optically addressable solid-state spins have been proposed as robust radiofrequency (RF)-optical transducers sensitive to a specific RF frequency tuned by an external static magnetic field, but often require precise field alignment with the…

Raman scattering, an inelastic scattering mechanism, provides information about molecular excitation energies and can be used to identify chemical compounds. Albeit being a powerful analysis tool, especially for label-free biomedical…

Nitrogen vacancy (NV) centers, optically active atomic defects in diamond, have been widely applied to emerging quantum sensing, imaging, and network efforts, showing unprecedented field sensitivity and nanoscale spatial resolution. Many of…

Mesoscale and Nanoscale Physics · Physics 2021-04-06 Eric Lee-Wong , Jinjun Ding , Xiaoche Wang , Chuanpu Liu , Nathan J. McLaughlin , Hailong Wang , Mingzhong Wu , Chunhui Rita Du

The development of electron spin resonance (ESR) combined with scanning tunneling spectroscopy (STM) is undoubtedly one of the main experimental breakthroughs in surface science of the last decade thanks to joining the extraordinarily high…

Strongly Correlated Electrons · Physics 2022-08-31 Fernando Delgado , Nicolás Lorente

Raman spectroscopy, a photonic modality based on the inelastic backscattering of coherent light, is a valuable asset to the intraoperative sensing space, offering non-ionizing potential and highly-specific molecular fingerprint-like…

Image and Video Processing · Electrical Eng. & Systems 2024-01-18 Ashutosh Raman , Ren A. Odion , Kent K. Yamamoto , Weston Ross , Tuan Vo-Dinh , Patrick J. Codd

High-gain resonant nonlinear Raman scattering on trapped cold atoms within a high-fineness ring optical cavity is simply explained under a nonlinear opto-mechanical mechanism, and a proposal using it to detect frequency of micro-trap on…

Atomic Physics · Physics 2014-03-24 Lin Zhang

A completely quantum description of Raman process is used to investigate the nonclassical properties of the modes in the stimulated, spontaneous and partially spontaneous Raman process. Both coherent scattering (where all the initial modes…

Quantum Physics · Physics 2022-06-10 Anirban Pathak , Jaromir Krepelka , Jan Perina

The bosonisation technique is used to calculate the resonant Raman spectrum of a quantum wire with two electronic sub-bands occupied. Close to resonance, the cross section at frequencies in the region of the inter sub-band transitions shows…

Strongly Correlated Electrons · Physics 2009-11-07 E. Mariani , M. Sassetti , B. Kramer

At present, the Synthetic Aperture Radar (SAR) image classification method based on convolution neural network (CNN) has faced some problems such as poor noise resistance and generalization ability. Spiking neural network (SNN) is one of…

Computer Vision and Pattern Recognition · Computer Science 2021-06-16 Jiankun Chen , Xiaolan Qiu , Chibiao Ding , Yirong Wu

We use paramagnetic Faraday rotation to study spin noise spectrum from unpolarized Rb vapor in a tightly focused probe beam in the presence of N$_2$ buffer gas. We derive an analytical form for the diffusion component of the spin noise…

Quantum Physics · Physics 2017-12-13 V. G. Lucivero , N. D. McDonough , N. Dural , M. V. Romalis

Spiking neural networks (SNNs) are a promising paradigm for energy-efficient computation, yet their theoretical foundations-especially regarding stability and robustness-remain limited compared to artificial neural networks. In this work,…

Machine Learning · Computer Science 2025-11-25 Ernesto Araya , Massimiliano Datres , Gitta Kutyniok

Recent progress in the application of color centers to nanoscale spin sensing makes the combined use of noise spectroscopy and scanning probe imaging an attractive route for the characterization of arbitrary material systems. Unfortunately,…

We report an application of a simultaneous perturbation stochastic approximation (SPSA) algorithm to filtering systematic noise (SN) with non-zero mean value in photoemission data. In our analysis we have used a series of 50 single-scan…

Mathematical Physics · Physics 2009-11-13 D. S. Fedin , O. N. Granichin , Yu. S. Dedkov , S. L. Molodtsov

A universal numerical method is developed for the investigation of magnetic neutron scattering. By applying the pseudospectral-time-domain (PSTD) algorithm to the spinor version of the Schr\"odinger equation, the evolution of the spin-state…

Quantum Physics · Physics 2024-12-31 Kun Chen

Stimulated Raman scattering (SRS) in its strongly nonlinear, kinetic regime is controlled by a technique of deterministic, strong temporal modulation and spatial scrambling of laser speckle patterns, called Spike Trains of Uneven Duration…

Plasma Physics · Physics 2015-06-15 B. J. Albright , L. Yin , B. Afeyan

Nonlinear optical microscopy allows rapid high-resolution microscopy with image contrast generated from intrinsic properties of the sample. Established modalities such as multiphoton excited fluorescence and second/third-harmonic generation…