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Random sampling of random processes: Impulse processes
Information and Control, 1966 The concept of random impulse trains is useful as it facilitates statistical studies on discrete pulse modulated control and communication systems. As a result, this paper discusses the improper random process s(t)=∑n=−∞∞αnδ(t−tn) where the impulse occurrence times tn constitute a stationary point process and where the intensity modulating coefficients
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Quantifying scrambling in quantum neural networks
Journal of High Energy Physics, 2022 We quantify the role of scrambling in quantum machine learning. We characterize a quantum neural network’s (QNNs) error in terms of the network’s scrambling properties via the out-of-time-ordered correlator (OTOC).
Roy J. Garcia, Kaifeng Bu, Arthur Jaffe
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Semi‐random graph process [PDF]
Random Structures & Algorithms, 2019 We introduce and study a novel semi‐random multigraph process, described as follows. The process starts with an empty graph on n vertices. In every round of the process, one vertex v of the graph is picked uniformly at random and independently of all previous rounds.
Omri Ben-Eliezer +5 more
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Utilize random processes in estimate manpower; A case study that use Markov chain for human resource planning [PDF]
Muṭāli̒āt-i Mudīriyyat-i Ṣan̒atī, 2006 Forecasting is a base of any planning method especially human resource planning. One of the most important problems of organizations is human resource and personnel's problems.
Seyyed Hossein Abtahi +1 more
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New Journal of Physics, 2014 We describe a tracer in a bath of soft Brownian colloids by a particle coupled to the density field of the other bath particles. From the Dean equation, we derive an exact equation for the evolution of the whole system, and show that the density field ...
Vincent Démery +2 more
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Barren plateaus from learning scramblers with local cost functions
Journal of High Energy Physics, 2023 The existence of barren plateaus has recently revealed new training challenges in quantum machine learning (QML). Uncovering the mechanisms behind barren plateaus is essential in understanding the scope of problems that QML can efficiently tackle. Barren
Roy J. Garcia +3 more
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Work statistics in stochastically driven systems
New Journal of Physics, 2014 We identify the conditions under which a stochastic driving that induces energy changes into a system coupled with a thermal bath can be treated as a work source.
Gatien Verley +2 more
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Reply to Comment on ‘Fully covariant radiation force on a polarizable particle’
New Journal of Physics, 2014 We argue that the theories of Volokitin and Persson (2014 New J. Phys. http://dx.doi.org/10.1088/1367-2630/16/11/118001 16 http://dx.doi.org/10.1088/1367-2630/16/11/118001 ), Dedkov and Kyasov (2008 J. Phys.: Condens.
Carsten Henkel, Gregor Pieplow
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The capacitated vehicle routing problem with soft time windows and stochastic travel times
Revista Facultad de Ingeniería, 2019 A full multiobjective approach is employed in this paper to deal with a stochastic multiobjective capacitated vehicle routing problem (CVRP). In this version of the problem, the demand is considered to be deterministic, but the travel times are assumed ...
Jorge Oyola, Ph. D.
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Shadow detection and removal from images using machine learning and morphological operations
The Journal of Engineering, 2019 In this study, the authors present a system for shadow detection and removal from images using machine learning technique. A machine learning algorithm ESRT (enhanced streaming random tree) model is proposed.
Vicky Nair +2 more
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