Jamie Heredge

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All published works

Action	Title	Year	Authors
+	Provably Trainable Rotationally Equivariant Quantum Machine Learning	2024	Maxwell T. West Jamie Heredge M. E. Sevior Muhammad Usman
+ PDF Chat	Non-Unitary Quantum Machine Learning	2024	Jamie Heredge Maxwell West Lloyd C. L. Hollenberg M. E. Sevior
+ PDF Chat	Prospects of Privacy Advantage in Quantum Machine Learning	2024	Jamie Heredge Niraj Kumar Dylan Herman Shouvanik Chakrabarti Romina Yalovetzky Shree Hari Sureshbabu Changhao Li Marco Pistoia
+	Drastic Circuit Depth Reductions with Preserved Adversarial Robustness by Approximate Encoding for Quantum Machine Learning	2024	Maxwell T. West Azar C. Nakhl Jamie Heredge Floyd M. Creevey Lloyd C. L. Hollenberg M. E. Sevior Muhammad Usman
+	Permutation Invariant Encodings for Quantum Machine Learning with Point Cloud Data	2023	Jamie Heredge Charles D. Hill Lloyd C. L. Hollenberg M. E. Sevior
+	The Adjoint Is All You Need: Characterizing Barren Plateaus in Quantum Ansätze	2023	Enrico Fontana Dylan Herman Shouvanik Chakrabarti Niraj Kumar Romina Yalovetzky Jamie Heredge Shree Hari Sureshbabu Marco Pistoia
+	Drastic Circuit Depth Reductions with Preserved Adversarial Robustness by Approximate Encoding for Quantum Machine Learning	2023	Maxwell T. West Azar C. Nakhl Jamie Heredge Floyd M. Creevey Lloyd C. L. Hollenberg M. E. Sevior Muhammad Usman
+	Expressive variational quantum circuits provide inherent privacy in federated learning	2023	Niraj Kumar Jamie Heredge Changhao Li Shaltiel Eloul Shree Hari Sureshbabu Marco Pistoia
+	Provably Trainable Rotationally Equivariant Quantum Machine Learning	2023	Maxwell T. West Jamie Heredge M. E. Sevior Muhammad Usman
+	Kernel Alignment for Quantum Support Vector Machines Using Genetic Algorithms	2023	Floyd M. Creevey Jamie Heredge M. E. Sevior Lloyd C. L. Hollenberg
+	Quantum Support Vector Machines for Continuum Suppression in B Meson Decays	2021	Jamie Heredge Charles D. Hill Lloyd C. L. Hollenberg M. E. Sevior
+	Quantum Support Vector Machines for Continuum Suppression in B Meson Decays	2021	Jamie Heredge Charles E. Hill Lloyd C. L. Hollenberg M. E. Sevior

Common Coauthors

Coauthor	Papers Together
M. E. Sevior	9
Lloyd C. L. Hollenberg	7
Muhammad Usman	4
Shree Hari Sureshbabu	3
Maxwell T. West	3
Marco Pistoia	3
Floyd M. Creevey	3
Romina Yalovetzky	2
Changhao Li	2
Dylan Herman	2
Niraj Kumar	2
Shouvanik Chakrabarti	2
Charles D. Hill	2
Azar C. Nakhl	2
Charles E. Hill	1
Shaltiel Eloul	1
Niraj Kumar	1
Enrico Fontana	1
Maxwell West	1
Maxwell T. West	1

Commonly Cited References

Action	Title	Year	Authors	# of times referenced
+ PDF Chat	Supervised learning with quantum-enhanced feature spaces	2019	Vojtěch Havlíček Antonio Córcoles Kristan Temme Aram W. Harrow Abhinav Kandala Jerry M. Chow Jay Gambetta	6
+ PDF Chat	Cost function dependent barren plateaus in shallow parametrized quantum circuits	2021	M. Cerezo Akira Sone Tyler Volkoff Łukasz Cincio Patrick J. Coles	4
+ PDF Chat	A rigorous and robust quantum speed-up in supervised machine learning	2021	Yunchao Liu Srinivasan Arunachalam Kristan Temme	4
+ PDF Chat	Quantum Machine Learning in Feature Hilbert Spaces	2019	Maria Schuld Nathan Killoran	3
+	Theoretical Guarantees for Permutation-Equivariant Quantum Neural Networks	2022	Louis Schatzki Martín Larocca Quynh T. Nguyen Frédéric Sauvage M. Cerezo	3
+ PDF Chat	Quantum advantage in learning from experiments	2022	Hsin-Yuan Huang Michael Broughton Jordan Cotler Sitan Chen Jerry Li Masoud Mohseni Hartmut Neven Ryan Babbush Richard Kueng John Preskill	3
+ PDF Chat	Reflection equivariant quantum neural networks for enhanced image classification	2023	Maxwell T. West M. E. Sevior Muhammad Usman	3
+ PDF Chat	Connecting Ansatz Expressibility to Gradient Magnitudes and Barren Plateaus	2022	Zoë Holmes Kunal Sharma M. Cerezo Patrick J. Coles	3
+ PDF Chat	Towards quantum enhanced adversarial robustness in machine learning	2023	Maxwell T. West S. Tsang Jia Shun Low Charles D. Hill Christopher Leckie Lloyd C. L. Hollenberg Sarah M. Erfani Muhammad Usman	3
+ PDF Chat	Hybrid Quantum–Classical Generative Adversarial Network for High-Resolution Image Generation	2023	S. Tsang Maxwell T. West Sarah M. Erfani Muhammad Usman	3
+ PDF Chat	Robust data encodings for quantum classifiers	2020	Ryan LaRose Brian Coyle	3
+ PDF Chat	Absence of Barren Plateaus in Quantum Convolutional Neural Networks	2021	Arthur Pesah M. Cerezo Samson Wang Tyler Volkoff Andrew Sornborger Patrick J. Coles	3
+ PDF Chat	Quantum machine learning	2017	Jacob Biamonte Péter Wittek Nicola Pancotti Patrick Rebentrost Nathan Wiebe Seth Lloyd	3
+ PDF Chat	Certified Robustness to Adversarial Examples with Differential Privacy	2019	Mathias Lécuyer Vaggelis Atlidakis Roxana Geambasu Daniel Hsu Suman Jana	2
+	Lie Groups Beyond an Introduction	1996	Anthony W. Knapp	2
+ PDF Chat	Boosted Ensembles of Qubit and Continuous Variable Quantum Support Vector Machines for B Meson Flavor Tagging	2023	Maxwell T. West M. E. Sevior Muhammad Usman	2
+ PDF Chat	Benchmarking adversarially robust quantum machine learning at scale	2023	Maxwell T. West Sarah M. Erfani Christopher Leckie M. E. Sevior Lloyd C. L. Hollenberg Muhammad Usman	2
+	Evasion Attacks against Machine Learning at Test Time	2013	Battista Biggio Igino Corona Davide Maiorca Blaine Nelson Nedim Šrndić Pavel Laskov Giorgio Giacinto Fabio Roli	2
+ PDF Chat	A Survey on Neural Network Interpretability	2021	Yu Zhang Peter Tiňo Aleš Leonardis Ke Tang	2
+ PDF Chat	Group-Invariant Quantum Machine Learning	2022	Martín Larocca Frédéric Sauvage Faris M. Sbahi Guillaume Verdon Patrick J. Coles M. Cerezo	2
+ PDF Chat	Synthesis of quantum logic circuits	2005	Vivek Shende Stephen S. Bullock Igor L. Markov	2
+	Adversarial Examples Are Not Bugs, They Are Features	2019	Andrew Ilyas Shibani Santurkar Dimitris Tsipras Logan Engstrom Brandon Tran Aleksander Mądry	2
+ PDF Chat	Experimental quantum adversarial learning with programmable superconducting qubits	2022	Wenhui Ren Weikang Li Shibo Xu Ke Wang Wenjie Jiang Feitong Jin Xuhao Zhu Jiachen Chen Zixuan Song Pengfei Zhang	2
+ PDF Chat	High-Resolution Image Synthesis with Latent Diffusion Models	2022	Robin Rombach Andreas Blattmann Dominik Lorenz Patrick Esser Björn Ommer	2
+ PDF Chat	Robustness Verification of Quantum Classifiers	2021	Ji Guan Fang Wang Mingsheng Ying	2
+ PDF Chat	Diagnosing Barren Plateaus with Tools from Quantum Optimal Control	2022	Martín Larocca Piotr Czarnik Kunal Sharma Gopikrishnan Muraleedharan Patrick J. Coles M. Cerezo	2
+	Recent Advances in Adversarial Training for Adversarial Robustness	2021	Tao Bai Jinqi Luo Jun Zhao Bihan Wen Qian Wang	2
+ PDF Chat	Data compression for quantum machine learning	2022	Rohit Dilip Yu-Jie Liu Adam Smith Frank Pollmann	2
+ PDF Chat	Efficient quantum state tomography	2010	M. Cramer Martin B. Plenio Steven T. Flammia Rolando D. Somma David Groß Stephen D. Bartlett Olivier Landon-Cardinal David Poulin Yi-Kai Liu	2
+ PDF Chat	Quantum circuits for isometries	2016	Raban Iten Roger Colbeck Ivan Kukuljan Jonathan Home Matthias Christandl	2
+	Generalized Cross Entropy Loss for Training Deep Neural Networks with Noisy Labels	2018	Zhilu Zhang Mert R. Sabuncu	2
+ PDF Chat	Sequential Generation of Entangled Multiqubit States	2005	Christian Schön E. Solano Frank Verstraete J. I. Cirac M. M. Wolf	2
+ PDF Chat	Barren plateaus in quantum neural network training landscapes	2018	Jarrod R. McClean Sergio Boixo Vadim Smelyanskiy Ryan Babbush Hartmut Neven	2
+ PDF Chat	Quantum noise protects quantum classifiers against adversaries	2021	Yuxuan Du Min-Hsiu Hsieh Tongliang Liu Dacheng Tao Nana Liu	2
+ PDF Chat	Efficient Classical Simulation of Slightly Entangled Quantum Computations	2003	Guifré Vidal	2
+ PDF Chat	Encoding of matrix product states into quantum circuits of one- and two-qubit gates	2020	Shi-Ju Ran	2
+ PDF Chat	Quantum adversarial machine learning	2020	Sirui Lu Luming Duan Dong-Ling Deng	2
+ PDF Chat	The density-matrix renormalization group in the age of matrix product states	2010	Ulrich Schollwöck	2
+ PDF Chat	Robust in practice: Adversarial attacks on quantum machine learning	2021	Haoran Liao Ian Convy William J. Huggins K. Birgitta Whaley	2
+ PDF Chat	Vulnerability of quantum classification to adversarial perturbations	2020	Nana Liu Péter Wittek	2
+ PDF Chat	Noise-induced barren plateaus in variational quantum algorithms	2021	Samson Wang Enrico Fontana M. Cerezo Kunal Sharma Akira Sone Łukasz Cincio Patrick J. Coles	2
+ PDF Chat	Optimal provable robustness of quantum classification via quantum hypothesis testing	2021	Maurice Weber Nana Liu Bo Li Ce Zhang Zhikuan Zhao	2
+	Theory for Equivariant Quantum Neural Networks	2022	Kate Nguyen Louis Schatzki Paolo Braccia Michael Ragone Patrick J. Coles Frédéric Sauvage Martín Larocca M. Cerezo	2
+ PDF Chat	Measurements and atomistic theory of electron <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"><mml:mi>g</mml:mi></mml:math> -factor anisotropy for phosphorus donors in strained silicon	2018	Muhammad Usman Hans Huebl Andre R. Stegner Charles D. Hill Martin S. Brandt Lloyd C. L. Hollenberg	1
+	Fashion-MNIST: a Novel Image Dataset for Benchmarking Machine Learning Algorithms	2017	Xiao Han Kashif Rasul Roland Vollgraf	1
+ PDF Chat	Nature and measure of entanglement in quantum phase transitions	2004	Rolando D. Somma Gerardo Ortíz Howard Barnum Emanuel Knill Lorenza Viola	1
+	FastBDT: A speed-optimized and cache-friendly implementation of stochastic gradient-boosted decision trees for multivariate classification	2016	Thomas M. Keck	1
+ PDF Chat	Strain and electric field control of hyperfine interactions for donor spin qubits in silicon	2015	Muhammad Usman Charles D. Hill Rajib Rahman Gerhard Klimeck M. Y. Simmons Sven Rogge Lloyd C. L. Hollenberg	1
+	Quantum Control Landscapes Are Almost Always Trap Free	2016	Benjamin Russell Herschel Rabitz Re-Bing Wu	1
+ PDF Chat	Efficient classical simulation of matchgate circuits with generalized inputs and measurements	2016	Daniel J. Brod	1