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Random Quantum Circuits Transform Local Noise into Global White Noise
We study the distribution over measurement outcomes of noisy random quantum circuits in the regime of low fidelity, which corresponds to the setting...
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Programmable Radiometer-noise Model with Random Drift Contribution
AbstractA method for radiometer-noise generation and its software implementation in the form of a Python library module is proposed. The method can...
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Resonance behaviour for a bistable system driven by random-phase square-wave signal-modulated noise and multiplicative noise
The stochastic resonance (SR) phenomenon for a bistable system subject to signal-modulated noise and to multiplicative and additive noise is...
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Mbit/s-range alkali vapour spin noise quantum random number generators
Spin noise based quantum random number generators first appeared in 2008 and have since then garnered little further interest, in part because their...
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Effect of Random Environment on Kinetic Roughening: Kardar–Parisi–Zhang Model with a Static Noise Coupled to the Navier–Stokes Equation
AbstractKinetic roughening of a randomly growing surface can be modelled by the Kardar–Parisi–Zhang equation with a time-independent (“spatially...
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Characterizing tripartite entropic uncertainty under random telegraph noise
The uncertainty principle bounds the measurement precision of two complementary variables and the bipartite scenario of quantum-memory-assisted...
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Chaos, multistability and coexisting behaviours in small-scale grid: Impact of electromagnetic power, random wind energy, periodic load and additive white Gaussian noise
This paper explores nonlinear analysis of a novel small-scale grid (SSG) and studies the impact of electromagnetic power, random wind power, periodic...
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Interference and Noise
All electronic signals are subject to a small, but not insignificant, random fluctuation which is commonly interpreted as a noise signal being...
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Noise-induced pattern evolution in thermochemical kinetics
The problem of analyzing the processes of self-organization in stochastic models of thermokinetics is considered. Based on the spatially extended...
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Quantum Noise Source Based on Shot Noise of a Balanced Photodetector with a Tunable Integrated Optical Beam Splitter
AbstractA broadband quantum noise source based on detection of shot noise of a balanced photodetector is demonstrated. Precise electro-optical tuning...
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A Detection Method for the Random Noise Failure of Mems Gyros on Orbit
The extended Kalman filter and parity vector method are combined to optimize the gyros fault diagnosis model, compensate the constant drift, and...
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Noise effects in Schelling metapopulation model with underlying star topology
AbstractThe Schelling model, one of the most famous agent-based models in social physics, describes the formation of social segregated groups of...
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Quantum games under Markovian and non-Markovian quantum noise regime and the nature of phase transitions
The effect of the Markovian and non-Markovian quantum noise in the dynamics of quantum games is reported in this paper. The Kraus operators...
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Dissipation, Noise and Adaptive Systems
Most dynamical systems are not isolated, but interacting with an embedding environment that may add stochastic components to the evolution equations....
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Separation of Spectral Lines from a Broadband Background and Noise Filtering by Modified Tikhonov Regularization
AbstractWe propose a technique for processing noisy spectral data that implements a mathematically based selection of sharp signal peaks on an...
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How Does Noise Induce Order?
In this paper we present a general result with an easily checkable condition that ensures a transition from chaotic regime to regular regime in...
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Krylov complexity and spectral form factor for noisy random matrix models
We study the spectral properties of two classes of random matrix models: non-Gaussian RMT with quartic and sextic potentials, and RMT with Gaussian...
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Comparison of Analytical and Machine Learning Models in Traffic Noise Modeling and Predictions
This paper illustrates the applications of analytical models and machine learning methods to predict the equivalent continuous sound pressure levels (
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Optical quantum random number generators: a comparative study
Quantum random number generators give the opportunity to, in theory, obtain completely unpredictable numbers only perturbed by the noise in the...
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Signals and Noise
Perhaps it might seem rather unorthodox to start the discussion of Underwater Acoustics talking about signals and noise; however, this book has been...