Fisher Information, Training and Bias in Fourier Regression Models | Paper Citation Record

Observation 69f10e55-03b2-4760-bb1c-f6794781765f · outbound

This paper cites Opportuni- ties and challenges for quantum-assisted machine learning in near-term quantum computers.Quantum Science and Technology, 3(3):030502, jun 2018.

Fisher Information, Training and Bias in Fourier Regression Models Opportuni- ties and challenges for quantum-assisted machine learning in near-term quantum computers.Quantum Science and Technology, 3(3):030502, jun 2018

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This paper cites Parameterized quantum circuits as machine learning models.Quantum Science and Technology, 4(4):043001, nov 2019.

Fisher Information, Training and Bias in Fourier Regression Models Parameterized quantum circuits as machine learning models.Quantum Science and Technology, 4(4):043001, nov 2019

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This paper cites Cerezo, Guillaume Verdon, Hsin-Yuan Huang, Lukasz Cincio, and Patrick J.

Fisher Information, Training and Bias in Fourier Regression Models Cerezo, Guillaume Verdon, Hsin-Yuan Huang, Lukasz Cincio, and Patrick J

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Fisher Information, Training and Bias in Fourier Regression Models Classification with quantum neural networks on near term processors, 2018

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Fisher Information, Training and Bias in Fourier Regression Models Cerezo, Andrew Arrasmith, Ryan Babbush, Simon C

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This paper cites Kottmann, Tim Menke, Wai-Keong Mok, Sukin Sim, Leong-Chuan Kwek, and Al´ an Aspuru-Guzik.

Fisher Information, Training and Bias in Fourier Regression Models Kottmann, Tim Menke, Wai-Keong Mok, Sukin Sim, Leong-Chuan Kwek, and Al´ an Aspuru-Guzik

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This paper cites Quantum Computing in the NISQ era and beyond.Quantum, 2:79, August 2018.

Fisher Information, Training and Bias in Fourier Regression Models Quantum Computing in the NISQ era and beyond.Quantum, 2:79, August 2018

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Fisher Information, Training and Bias in Fourier Regression Models Expressive power of parametrized quan- tum circuits.Phys

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This paper cites Non-asymptotic Approximation Error Bounds of Parameterized Quantum Circuits.

Fisher Information, Training and Bias in Fourier Regression Models Non-asymptotic Approximation Error Bounds of Parameterized Quantum Circuits

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Observation be8f19e0-3053-4c0e-88f9-5c8b78d286f0 · outbound

This paper cites Caro, Elies Gil-Fuster, Johannes Jakob Meyer, Jens Eisert, and Ryan Sweke.

Fisher Information, Training and Bias in Fourier Regression Models Caro, Elies Gil-Fuster, Johannes Jakob Meyer, Jens Eisert, and Ryan Sweke

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Observation f7603c39-7aef-4576-b2f1-46ad56ef847d · outbound

This paper cites Generalization in quantum machine learning: A quantum information standpoint.PRX Quantum, 2:040321, Nov 2021.

Fisher Information, Training and Bias in Fourier Regression Models Generalization in quantum machine learning: A quantum information standpoint.PRX Quantum, 2:040321, Nov 2021

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Observation e8263c70-0f51-4b82-ae44-7e51c6ad79cf · outbound

This paper cites Caro, Hsin-Yuan Huang, M.

Fisher Information, Training and Bias in Fourier Regression Models Caro, Hsin-Yuan Huang, M

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This paper cites Quantum convolu- tional neural networks for high energy physics data analysis.Phys.

Fisher Information, Training and Bias in Fourier Regression Models Quantum convolu- tional neural networks for high energy physics data analysis.Phys

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This paper cites Reichwald, Andrei Morariu, Raja Havish Seggoju, Philipp Alt- mann, Christoph Roch, and Adrian Paschke.

Fisher Information, Training and Bias in Fourier Regression Models Reichwald, Andrei Morariu, Raja Havish Seggoju, Philipp Alt- mann, Christoph Roch, and Adrian Paschke

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Observation e30fccc4-9b36-4086-9d93-43a95e66bc34 · outbound

This paper cites Classification of the fashion-mnist dataset on a quantum computer, 2024.

Fisher Information, Training and Bias in Fourier Regression Models Classification of the fashion-mnist dataset on a quantum computer, 2024

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This paper cites Quantum anomaly detection in the latent space of proton collision events at the lhc.Communications Physics, 7:334, 2024.

Fisher Information, Training and Bias in Fourier Regression Models Quantum anomaly detection in the latent space of proton collision events at the lhc.Communications Physics, 7:334, 2024

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This paper cites Quantum machine learning algorithms for anomaly detection: a survey, 2024.

Fisher Information, Training and Bias in Fourier Regression Models Quantum machine learning algorithms for anomaly detection: a survey, 2024

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This paper cites Scalable and interpretable quantum natural language pro- cessing: an implementation on trapped ions, 2024.

Fisher Information, Training and Bias in Fourier Regression Models Scalable and interpretable quantum natural language pro- cessing: an implementation on trapped ions, 2024

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This paper cites Jahromi, Sukhbinder Singh, and Roman Orus.

Fisher Information, Training and Bias in Fourier Regression Models Jahromi, Sukhbinder Singh, and Roman Orus

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This paper cites Buildung continuous quantum-classical bayesian neural networks for a classical clinical dataset.

Fisher Information, Training and Bias in Fourier Regression Models Buildung continuous quantum-classical bayesian neural networks for a classical clinical dataset

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This paper cites Pulsar classification: comparing quantum convolutional neural networks and quantum support vector machines.Quantum Machine Intelligence, 6(2), September 2024.

Fisher Information, Training and Bias in Fourier Regression Models Pulsar classification: comparing quantum convolutional neural networks and quantum support vector machines.Quantum Machine Intelligence, 6(2), September 2024

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Fisher Information, Training and Bias in Fourier Regression Models Quantum neural networks for cloud cover parameterizations in climate models, 2025

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Fisher Information, Training and Bias in Fourier Regression Models Johnson, and Al´ an Aspuru-Guzik

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This paper cites Evaluation of parameterized quantum circuits: on the relation between classification accuracy, expressibility, and entangling capability.

Fisher Information, Training and Bias in Fourier Regression Models Evaluation of parameterized quantum circuits: on the relation between classification accuracy, expressibility, and entangling capability

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Fisher Information, Training and Bias in Fourier Regression Models The power of quantum neural networks.Nature Comp

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Fisher Information, Training and Bias in Fourier Regression Models Input redundancy for parameterized quantum circuits

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Fisher Information, Training and Bias in Fourier Regression Models Effect of data encoding on the expressive power of variational quantum-machine-learning models.Phys

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Fisher Information, Training and Bias in Fourier Regression Models General parameter-shift rules for quantum gradients.Quantum, 6:677, March 2022

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Fisher Information, Training and Bias in Fourier Regression Models Multidimensional fourier series with quantum circuits.Phys

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Fisher Information, Training and Bias in Fourier Regression Models Differential-geometrical methods in statistics

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Fisher Information, Training and Bias in Fourier Regression Models Natural gradient works efficiently in learning.Neural Computation, 10:251–276, may 1997

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Fisher Information, Training and Bias in Fourier Regression Models Revisiting natural gradient for deep networks, 2014

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Fisher Information, Training and Bias in Fourier Regression Models The spectrum of the fisher information matrix of a single-hidden- layer neural network

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Fisher Information, Training and Bias in Fourier Regression Models Fisher information and natural gradient learning in random deep networks

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Fisher Information, Training and Bias in Fourier Regression Models Universal statistics of fisher information in deep neural networks: mean field approach*.Journal of Statistical Mechanics: Theory and Experiment, 2020(12):124005, dec 2020

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Fisher Information, Training and Bias in Fourier Regression Models The spectrum of fisher information of deep networks achieving dynamical isometry

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Fisher Information, Training and Bias in Fourier Regression Models Pathological spectra of the fisher information metric and its variants in deep neural networks.Neural Computation, 33(8):2274–2307, 07 2021

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Fisher Information, Training and Bias in Fourier Regression Models Coles, and Marco Cerezo

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Fisher Information, Training and Bias in Fourier Regression Models Unresolved cited work

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Fisher Information, Training and Bias in Fourier Regression Models A practical introduction to tensor networks: Matrix product states and projected entangled pair states.Annals of Physics, 349:117–158, 2014

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Fisher Information, Training and Bias in Fourier Regression Models Tensor Network Contractions

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Fisher Information, Training and Bias in Fourier Regression Models Unresolved cited work

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Fisher Information, Training and Bias in Fourier Regression Models The density-matrix renormalization group in the age of matrix product states.Annals of Physics, 326(1):96–192, 2011

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Fisher Information, Training and Bias in Fourier Regression Models Matrix product operator representations.New Journal of Physics, 12(2):025012, feb 2010

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Fisher Information, Training and Bias in Fourier Regression Models Hubig, I

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Fisher Information, Training and Bias in Fourier Regression Models Ignacio Cirac

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Fisher Information, Training and Bias in Fourier Regression Models Shi, L.-M

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Fisher Information, Training and Bias in Fourier Regression Models Tagliacozzo, G

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Fisher Information, Training and Bias in Fourier Regression Models Unresolved cited work

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Fisher Information, Training and Bias in Fourier Regression Models Kingma and Jimmy Ba

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Fisher Information, Training and Bias in Fourier Regression Models Supervised quantum machine learning models are kernel methods, 2021

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Fisher Information, Training and Bias in Fourier Regression Models Spectral bias and task-model alignment explain generalization in kernel regression and infinitely wide neural networks.Nature Communications, 12:2914, 2021

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Fisher Information, Training and Bias in Fourier Regression Models The inductive bias of quantum kernels

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Fisher Information, Training and Bias in Fourier Regression Models Generalization despite overfitting in quantum machine learning models

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Fisher Information, Training and Bias in Fourier Regression Models Baraniuk

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Fisher Information, Training and Bias in Fourier Regression Models Classically ap- proximating variational quantum machine learning with random fourier features, 2022

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Fisher Information, Training and Bias in Fourier Regression Models Schreiber, Jens Eisert, and Johannes Jakob Meyer

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Fisher Information, Training and Bias in Fourier Regression Models Potential and limitations of random fourier features for dequantizing quantum machine learning, 2023

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Fisher Information, Training and Bias in Fourier Regression Models Dequantizing quantum machine learning models using tensor networks.Phys

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Fisher Information, Training and Bias in Fourier Regression Models Collins and P

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Fisher Information, Training and Bias in Fourier Regression Models On some properties of orthogonal weingarten functions.Journal of Mathematical Physics, 50(11):113516, 11 2009

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Reference 66

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Reference 69

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Fisher Information, Training and Bias in Fourier Regression Models This matrix satisfies the above conditions by con- struction

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Reference 72

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