Barthélémy Meynard-Piganeau

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All published works

Action	Title	Year	Authors
+ PDF Chat	Stochastic gradient descent for hybrid quantum-classical optimization	2020	Ryan Sweke Frederik Wilde Johannes Jakob Meyer Maria Schuld Paul K. Faehrmann Barthélémy Meynard-Piganeau Jens Eisert

Common Coauthors

Coauthor	Papers Together
Jens Eisert	1
Maria Schuld	1
Johannes Jakob Meyer	1
Ryan Sweke	1
Frederik Wilde	1
Paul K. Faehrmann	1

Commonly Cited References

Action	Title	Year	Authors	# of times referenced
+	A Quantum Approximate Optimization Algorithm	2014	Edward Farhi Jeffrey Goldstone Sam Gutmann	1
+ PDF Chat	Average-Case Complexity Versus Approximate Simulation of Commuting Quantum Computations	2016	Michael J. Bremner Ashley Montanaro Dan Shepherd	1
+	The computational complexity of linear optics	2011	Scott Aaronson A. A. Архипов	1
+ PDF Chat	Entropy Scaling and Simulability by Matrix Product States	2008	Norbert Schuch Michael M. Wolf Frank Verstraete J. I. Cirac	1
+ PDF Chat	A variational eigenvalue solver on a photonic quantum processor	2014	Alberto Peruzzo Jarrod R. McClean Peter Shadbolt Man‐Hong Yung Xiaoqi Zhou Peter J. Love Alán Aspuru‐Guzik Jeremy L. O’Brien	1
+	Parallelized Stochastic Gradient Descent	2010	Martin Zinkevich Markus Weimer Lihong Li Alex Smola	1
+ PDF Chat	The theory of variational hybrid quantum-classical algorithms	2016	Jarrod R. McClean Jonathan Romero Ryan Babbush Alán Aspuru‐Guzik	1
+ PDF Chat	Quantum Supremacy for Simulating a Translation-Invariant Ising Spin Model	2017	Xun Gao Sheng-Tao Wang Luming Duan	1
+	An overview of gradient descent optimization algorithms	2016	Sebastian Ruder	1
+ PDF Chat	Probing many-body dynamics on a 51-atom quantum simulator	2017	Hannes Bernien Sylvain Schwartz Alexander Keesling Harry Levine Ahmed Omran Hannes Pichler Soonwon Choi A. S. Zibrov Manuel Endres Markus Greiner	1
+ PDF Chat	Observation of a many-body dynamical phase transition with a 53-qubit quantum simulator	2017	J. Zhang Guido Pagano Paul Hess A. Kyprianidis Patrick Becker Harvey Kaplan Alexey V. Gorshkov Zhe-Xuan Gong C. Monroe	1
+ PDF Chat	Architectures for Quantum Simulation Showing a Quantum Speedup	2018	Juan Bermejo-Vega Dominik Hangleiter Martin Schwarz Robert Raussendorf Jens Eisert	1
+ PDF Chat	Hardware-efficient variational quantum eigensolver for small molecules and quantum magnets	2017	Abhinav Kandala Antonio Mezzacapo Kristan Temme Maika Takita Markus Brink Jerry M. Chow Jay Gambetta	1
+	A blueprint for demonstrating quantum supremacy with superconducting qubits	2018	C. Neill P. Roushan Kostyantyn Kechedzhi Sergio Boixo Sergei V. Isakov Vadim Smelyanskiy A. Megrant B. Chiaro A. Dunsworth Kunal Arya	1
+	Don't Decay the Learning Rate, Increase the Batch Size	2017	Samuel Smith Pieter-Jan Kindermans Chris Ying Quoc V. Le	1
+ PDF Chat	Optimizing quantum optimization algorithms via faster quantum gradient computation	2019	András Gilyén Srinivasan Arunachalam Nathan Wiebe	1
+ PDF Chat	Quantum Computing in the NISQ era and beyond	2018	John Preskill	1
+	Classification with Quantum Neural Networks on Near Term Processors	2018	Edward Farhi Hartmut Neven	1
+	Quantum circuit learning	2018	Kosuke Mitarai Makoto Negoro Masahiro Kitagawa Keisuke Fujii	1
+ PDF Chat	Circuit-centric quantum classifiers	2020	Maria Schuld Alex Bocharov Krysta M. Svore Nathan Wiebe	1
+	U-Statistics: Theory and Practice.	1992	Deborah Nolan A. J. Lee	1
+ 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	1
+	On the Convergence of Stochastic Gradient Descent with Adaptive Stepsizes	2018	Xiaoyu Li Francesco Orabona	1
+	Stochastic Gradient Descent with Biased but Consistent Gradient Estimators	2018	Jie Chen Ronny Luss	1
+	Tight Dimension Independent Lower Bound on the Expected Convergence Rate for Diminishing Step Sizes in SGD	2018	Phuong Ha Nguyen Lam M. Nguyen Marten van Dijk	1
+ PDF Chat	Random Compiler for Fast Hamiltonian Simulation	2019	Earl T. Campbell	1
+	PennyLane: Automatic differentiation of hybrid quantum-classical computations	2018	Ville Bergholm Josh Izaac Maria Schuld Christian Gogolin M. Sohaib Alam Shahnawaz Ahmed Juan Miguel Arrazola Carsten Blank Alain Delgado Soran Jahangiri	1
+ PDF Chat	Evaluating analytic gradients on quantum hardware	2019	Maria Schuld Ville Bergholm Christian Gogolin Josh Izaac Nathan Killoran	1
+	Robust Implementation of Generative Modeling with Parametrized Quantum Circuits	2019	Vicente Leyton‐Ortega Alejandro Perdomo‐Ortiz Óscar Perdomo	1
+	A Universal Training Algorithm for Quantum Deep Learning	2018	Guillaume Verdon Jason Pye Michael Broughton	1
+	HOGWILD!: A Lock-Free Approach to Parallelizing Stochastic Gradient Descent	2011	Feng Niu Benjamin Recht Christopher Ré Stephen J. Wright	1
+	Scalable Kernel Methods via Doubly Stochastic Gradients	2014	Bo Dai Bo Xie Niao He Yingyu Liang Anant Raj Maria-Florina Balcan Le Song	1
+ PDF Chat	Linear Convergence of Gradient and Proximal-Gradient Methods Under the Polyak-Łojasiewicz Condition	2016	Hamed Karimi Julie Nutini Mark Schmidt	1
+	An Alternative View: When Does SGD Escape Local Minima?	2018	Robert Kleinberg Yuanzhi Li Yuan Yang	1
+	On the Convergence of Stochastic Gradient Descent with Adaptive Stepsizes	2018	Xiaoyu Li Francesco Orabona	1
+	Minimizing State Preparations in Variational Quantum Eigensolver by Partitioning into Commuting Families	2019	Pranav Gokhale Olivia Angiuli Yongshan Ding Kaiwen Gui Teague Tomesh Martin Suchara Margaret Martonosi Frederic T. Chong	1
+ PDF Chat	Training of quantum circuits on a hybrid quantum computer	2019	Daiwei Zhu Norbert Linke Marcello Benedetti K. A. Landsman Nhung H. Nguyen C. Huerta Alderete Alejandro Perdomo‐Ortiz Nathan Korda A. Garfoot Charles Brecque	1
+ PDF Chat	Noise-resilient variational hybrid quantum-classical optimization	2020	Laura Gentini Alessandro Cuccoli Stefano Pirandola Paola Verrucchi Leonardo Banchi	1
+ PDF Chat	Quantum Approximate Optimization Algorithm: Performance, Mechanism, and Implementation on Near-Term Devices	2020	Leo Zhou Sheng-Tao Wang Soonwon Choi Hannes Pichler Mikhail D. Lukin	1
+ PDF Chat	Parameterized quantum circuits as machine learning models	2019	Marcello Benedetti Erika Lloyd Stefan Sack Mattia Fiorentini	1
+ PDF Chat	Quantum supremacy using a programmable superconducting processor	2019	Frank Arute Kunal Arya Ryan Babbush Dave Bacon Joseph C. Bardin R. Barends Rupak Biswas Sergio Boixo Fernando G. S. L. Brandão David A. Buell	1
+ PDF Chat	Quantum-circuit design for efficient simulations of many-body quantum dynamics	2012	Sadegh Raeisi Nathan Wiebe Barry C. Sanders	1
+	Optimizing quantum optimization algorithms via faster quantum gradient computation	2019	András Gilyén Srinivasan Arunachalam Nathan Wiebe	1
+ PDF Chat	An Adaptive Optimizer for Measurement-Frugal Variational Algorithms	2020	Jonas M. Kübler Andrew Arrasmith Łukasz Cincio Patrick J. Coles	1
+ PDF Chat	Self-verifying variational quantum simulation of lattice models	2019	Christian Kokail Christine Maier Rick van Bijnen Tiff Brydges Manoj K. Joshi Petar Jurcevic Christine A. Muschik Pietro Silvi R. Blatt C. F. Roos	1
+ PDF Chat	Low-Depth Gradient Measurements Can Improve Convergence in Variational Hybrid Quantum-Classical Algorithms	2021	Aram W. Harrow John Napp	1