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Related papers: Noise scaling in SQUID arrays

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We report unexpectedly large noise in the current from nanopatterned PbS quantum dot films. The noise is proportional to the current when the latter is varied by changing the source-drain bias, gate voltage or temperature. The spectral…

Mesoscale and Nanoscale Physics · Physics 2015-01-09 Tamar S. Mentzel , Nirat Ray , Neal E. Staley , Marc A. Kastner , Darcy D. W. Grinolds , Moungi G. Bawendi

A new DC-SQUID is proposed that exploits the properties of the grain boundary junctions in high T_c superconductors. The orientations of the grain boundaries are chosen in such a way to establish a pi/2 (rather than 0 or pi) phase…

Mesoscale and Nanoscale Physics · Physics 2018-07-04 M. H. S. Amin , M. Coury , G. Rose

Low-frequency noise with a spectral density that depends inversely on frequency (f) has been observed in a wide variety of systems including current fluctuations in resistors, intensity fluctuations in music and signals in human cognition.…

Mesoscale and Nanoscale Physics · Physics 2015-06-16 Alexander A. Balandin

The aggregation of superparamagnetic iron oxide (SPIO) nanoparticles decreases the transverse nuclear magnetic resonance (NMR) relaxation time T2 of adjacent water molecules measured by a Carr-Purcell-Meiboom-Gill (CPMG) pulse-echo…

Mesoscale and Nanoscale Physics · Physics 2015-05-18 K. A. Brown , C. C. Vassiliou , D. Issadore , J. Berezovsky , M. J. Cima , R. M. Westervelt

Low-frequency noise with the spectral density S(f)~1/f^g (f is the frequency and g~1) is a ubiquitous phenomenon, which hampers operation of many devices and circuits. A long-standing question of particular importance for electronics is…

Mesoscale and Nanoscale Physics · Physics 2015-06-12 Guanxiong Liu , Sergey Rumyantsev , Michael S. Shur , Alexander A. Balandin

Order statistics of periodic, Gaussian noise with 1/f^{\alpha} power spectrum is investigated. Using simulations and phenomenological arguments, we find three scaling regimes for the average gap d_k=<x_k-x_{k+1}> between the k-th and…

Statistical Mechanics · Physics 2013-05-29 N. R. Moloney , K. Ozogany , Z. Racz

We develop the theoretical framework for calculating magnetic noise from conducting two-dimensional (2D) materials. We describe how local measurements of this noise can directly probe the wave-vector dependent transport properties of the…

Strongly Correlated Electrons · Physics 2017-04-25 Kartiek Agarwal , Richard Schmidt , Bertrand Halperin , Vadim Oganesyan , Gergely Zaránd , Mikhail D. Lukin , Eugene Demler

We present a set of experimental results concerning the power spectrum of current noise, detected on a granular high Tc superconductor submitted either to a slowly varying magnetic field or to a varying current intensity. Experiments were…

Superconductivity · Physics 2009-11-10 P. Mazzetti , P. Tura , A. Masoero , A. Stepanescu

To study the properties of frustrated two-dimensional Josephson junction arrays near incommensurability, we examine the current-voltage characteristics of a square proximity-coupled Josephson junction array at a sequence of frustrations…

Superconductivity · Physics 2007-05-23 In-Cheol Baek , Young-Je Yun , Mu-Yong Choi

The reduction of phase noise in electronic systems is of utmost importance in modern communication and signal processing applications and requires an understanding of the underlying physical processes. Here, we systematically study the…

Mesoscale and Nanoscale Physics · Physics 2023-08-07 Artem Litvinenko , Akash Kumar , Mona Rajabali , Ahmad A. Awad , Roman Khymyn , Johan Akerman

We study the charge noise $S_Q$ in Josephson qubits produced by fluctuating two level systems (TLS) with electric dipole moments in the substrate. The TLS are driven by an alternating electric field of angular frequency $\Omega$ and…

Superconductivity · Physics 2009-11-13 Magdalena Constantin , Clare C. Yu , John M. Martinis

We study the Josephson current through a ballistic normal metal layer of thickness $D$ on which two superconducting electrodes are deposited within a distance $L$ of each other. In the presence of an ({\it in-layer}) magnetic field we find…

Superconductivity · Physics 2009-11-13 G. Mohammadkhani , M. Zareyan , Ya. M. Blanter

Corrupting the input and hidden layers of deep neural networks (DNNs) with multiplicative noise, often drawn from the Bernoulli distribution (or 'dropout'), provides regularization that has significantly contributed to deep learning's…

Machine Learning · Statistics 2015-06-11 Eric Nalisnick , Anima Anandkumar , Padhraic Smyth

We developed a scanning DC SQUID microscope with novel readout electronics capable of wideband sensing RF magnetic fields from 50 to 200 MHz and simultaneously providing closed-loop response at kHz frequencies. To overcome the 20 MHz…

We investigate a class of stochastic partial differential equations of reaction-diffusion type defined on graphs, which can be derived as the limit of SPDEs on narrow planar channels. In the first part, we demonstrate that this limit can be…

Probability · Mathematics 2024-03-21 Sandra Cerrai , Wen-Tai Hsu

Quantum mechanics can strongly influence the noise properties of mesoscopic devices. To probe this effect we have measured the current fluctuations at high-frequency (5-90 GHz) using a superconductor-insulator-superconductor tunnel junction…

Mesoscale and Nanoscale Physics · Physics 2009-11-10 R. Deblock , E. Onac , L. Gurevich , L. P. Kouwenhoven

Systems near to quantum critical points show universal scaling in their response functions. We consider whether this scaling is reflected in their fluctuations; namely in current-noise. Naive scaling predicts low-temperature Johnson noise…

Strongly Correlated Electrons · Physics 2009-11-11 A. G. Green , J. E. Moore , S. L. Sondhi , A. Vishwanath

We have carried out numerical simulations of shot noise in 2D arrays of single-electron islands with random background charges. The results show that in contrast with the 1D arrays, at low currents the current noise is strongly colored, and…

Mesoscale and Nanoscale Physics · Physics 2009-11-10 Daniel M. Kaplan , Victor A. Sverdlov , Konstantin K. Likharev

This work uncovers an interplay among data density, noise, and the generalization ability in similarity learning. We consider Siamese Neural Networks (SNNs), which are the basic form of contrastive learning, and explore two types of noise…

Machine Learning · Computer Science 2023-07-25 Nayara Fonseca , Veronica Guidetti

The influence of experimental noise on densities rho(p) reconstructed by the Cormack method from their line projections, e.g. 2D ACAR spectra, is investigated. Simulations of statistical noise are performed for various sets of 2D spectra…

Materials Science · Physics 2007-05-23 M. Samsel-Czekala , L. Boguszewicz
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