Search Results - AUTOMATIC DIFFERENTIATION

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    Inverse Hamiltonian design by automatic differentiation by Koji Inui, Yukitoshi Motome

    Published in Communications Physics (2023-03-01)
    “…Here, the authors present a general theoretical framework based on the inverse problem that uses automatic differentiation to construct a Hamiltonian with the desired physical properties.…”
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    Automatic differentiable numerical renormalization group by Jonas B. Rigo, Andrew K. Mitchell

    Published in Physical Review Research (2022-03-01)
    “…This is achieved efficiently within the differentiable programming paradigm, which utilizes automatic differentiation (AD) of each step of a computer program and the chain rule. …”
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    Stochastic automatic differentiation and the signal to noise problem by G. Catumba, A. Ramos

    “…In this work we show that writing correlators as derivatives with respect to sources and evaluating these derivatives using techniques of stochastic automatic differentiation can eliminate completely the signal to noise problem. …”
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    Wave-function positivization via automatic differentiation by Giacomo Torlai, Juan Carrasquilla, Matthew T. Fishman, Roger G. Melko, Matthew P. A. Fisher

    Published in Physical Review Research (2020-09-01)
    “…The optimization of the gates is performed through automatic differentiation algorithms, widely used in the machine learning community. …”
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    Automatic differentiable Monte Carlo: Theory and application by Shi-Xin Zhang, Zhou-Quan Wan, Hong Yao

    Published in Physical Review Research (2023-07-01)
    “…Here we present the general theory enabling infinite-order automatic differentiation on expectations computed by Monte Carlo with unnormalized probability distributions, which we call automatic differentiable Monte Carlo (ADMC). …”
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    Automatic Search of Differential Characteristics and Improved Differential Cryptanalysis for PRINCE, QARMA, and MANTIS by Yaxin Cui, Hong Xu, Lin Tan, Wenfeng Qi

    Published in IET Information Security (2024-01-01)
    “…In this paper, we consider the automatic differential cryptanalysis of reflection block ciphers based on Boolean satisfiability (SAT) method. …”
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    Quantum Optimal Control via Semi-Automatic Differentiation by Michael H. Goerz, Sebastián C. Carrasco, Vladimir S. Malinovsky

    Published in Quantum (2022-12-01)
    “…We develop a framework of "semi-automatic differentiation" that combines existing gradient-based methods of quantum optimal control with automatic differentiation. …”
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    Foundational Certification Of Code Transformations Using Automatic Differentiation by Emmanuel M. Tadjouddine, Wenjin Lv

    Published in Computer Science (2014-01-01)
    “…Automatic Differentiation (AD) is concerned with the semantics augmentation of an input program representing a function to form a transformed program that computes the function's derivatives. …”
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    Compressed 'CMB-lite' Likelihoods Using Automatic Differentiation by Lennart Balkenhol

    Published in The Open Journal of Astrophysics (2025-02-01)
    “…In this work, we present an implementation of the CMB-lite framework relying on automatic differentiation. The technique presented reduces the computational cost of the lite likelihood construction to one minimisation and one Hessian evaluation, which run on a personal computer in about a minute. …”
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