Results 21 to 30 of about 955,929 (267)
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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Indistinguishability of Random Systems [PDF]
, 2002 An (X, Y)-random system takes inputs X1, X2, . . . ? ? and generates, for each new input Xi, an output Yi ? Y, depending probabilistically on X1, . . . , Xi and Y1, . . . , Yi-1. Many cryptographic systems like block ciphers, MAC-schemes, pseudo-random functions, etc., can be modeled as random systems, where in fact Yi often depends only on Xi, i.e ...
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Random periodic solutions of random dynamical systems
Journal of Differential Equations, 2009 In this paper, we give the definition of the random periodic solutions of random dynamical systems. We prove the existence of such periodic solutions for a $C^1$ perfect cocycle on a cylinder using a random invariant set, the Lyapunov exponents and the pullback of the cocycle.
Zhao, Huaizhong, Zheng, Zuo-Huan
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Hayden-Preskill decoding from noisy Hawking radiation
Journal of High Energy Physics, 2021 In the Hayden-Preskill thought experiment, the Hawking radiation emitted before a quantum state is thrown into the black hole is used along with the radiation collected later for the purpose of decoding the quantum state.
Ning Bao, Yuta Kikuchi
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Random Access for Underwater Acoustic Cellular Systems
Sensors, 2018 In this paper, a random access preamble (RAP) design technique for underwater acoustic cellular systems is proposed. After showing that the conventional RAP used in long term evolution (LTE) systems is not appropriate for underwater acoustic cellular ...
Rothna Pec +3 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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Randomness and Non-Ergodic Systems [PDF]
Moscow Mathematical Journal, 2014 We characterize the points that satisfy Birkhoff's ergodic theorem under certain computability conditions in terms of algorithmic randomness. First, we use the method of cutting and stacking to show that if an element x of the Cantor space is not Martin-Lof random, there is a computable measure-preserving transformation and a computable set that ...
Franklin, Johanna N. Y., Towsner, Henry
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Pediatric Blood &Cancer, EarlyView.ABSTRACT Introduction The use of herbal medical preparation (HMP) is rising among pediatric oncology patients, often to manage treatment‐related symptoms. Their effectiveness remains uncertain, and the risk of herb–drug interactions is underestimated.
Orianne Mahot +6 more
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Emergent symmetry in Brownian SYK models and charge dependent scrambling
Journal of High Energy Physics, 2022 In this work, we introduce a symmetry-based approach to study the scrambling and operator dynamics of Brownian SYK models at large finite N and in the infinite N limit.
Lakshya Agarwal, Shenglong Xu
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Pediatric Blood &Cancer, EarlyView.ABSTRACT Background Medication nonadherence during the first 100 days after pediatric hematopoietic stem cell transplantation (HSCT) and during oncology treatment increases risk for complications. BMT4me is a caregiver‐facing mobile health (mHealth) application providing medication reminders, symptom tracking, and note‐taking features to support ...
Micah A. Skeens +4 more
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