Yadong Wu

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Common Coauthors
Commonly Cited References
Action Title Year Authors # of times referenced
+ PDF Chat Differentiable learning of quantum circuit Born machines 2018 Jin-Guo Liu
Lei Wang
3
+ PDF Chat Circuit-centric quantum classifiers 2020 Maria Schuld
Alex Bocharov
Krysta M. Svore
Nathan Wiebe
3
+ PDF Chat Operator Hydrodynamics, OTOCs, and Entanglement Growth in Systems without Conservation Laws 2018 Curt von Keyserlingk
Tibor Rakovszky
Frank Pollmann
S. L. Sondhi
3
+ PDF Chat Information Scrambling in Quantum Neural Networks 2020 Huitao Shen
Pengfei Zhang
Yi‐Zhuang You
Hui Zhai
3
+ PDF Chat Black holes and the butterfly effect 2014 Stephen H. Shenker
Douglas Stanford
3
+ PDF Chat Quantum Autoencoders to Denoise Quantum Data 2020 Dmytro Bondarenko
Polina Feldmann
3
+ PDF Chat Training deep quantum neural networks 2020 Kerstin Beer
Dmytro Bondarenko
Terry Farrelly
Tobias J. Osborne
Robert Salzmann
Daniel Scheiermann
Ramona Wolf
2
+ PDF Chat Quantum autoencoders for efficient compression of quantum data 2017 Jonathan Romero
Jonathan P. Olson
Alán Aspuru‐Guzik
2
+ PDF Chat Scrambling ability of quantum neural network architectures 2021 Yadong Wu
Pengfei Zhang
Hui Zhai
2
+ PDF Chat Expressive power of parametrized quantum circuits 2020 Yuxuan Du
Min-Hsiu Hsieh
Tongliang Liu
Dacheng Tao
2
+ PDF Chat Quantum-Assisted Learning of Hardware-Embedded Probabilistic Graphical Models 2017 Marcello Benedetti
John Realpe-Gómez
Rupak Biswas
Alejandro Perdomo‐Ortiz
2
+ PDF Chat Diffusive Hydrodynamics of Out-of-Time-Ordered Correlators with Charge Conservation 2018 Tibor Rakovszky
Frank Pollmann
Curt von Keyserlingk
2
+ PDF Chat The quantum cocktail party problem 2020 Xiao Liang
Yadong Wu
Hui Zhai
2
+ PDF Chat Fast scramblers 2008 Yasuhiro Sekino
Lawrence Susskind
2
+ PDF Chat Black holes as mirrors: quantum information in random subsystems 2007 Patrick Hayden
John Preskill
2
+ PDF Chat Experimental Realization of a Quantum Autoencoder: The Compression of Qutrits via Machine Learning 2019 Alex Pepper
Nora Tischler
Geoff J. Pryde
2
+ PDF Chat Quantum convolutional neural networks 2019 Iris Cong
Soonwon Choi
Mikhail D. Lukin
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 Learning and inference on generative adversarial quantum circuits 2019 Jinfeng Zeng
Yufeng Wu
Jin-Guo Liu
Lei Wang
Jiangping Hu
2
+ PDF Chat Quanvolutional neural networks: powering image recognition with quantum circuits 2020 M. Todd Henderson
Samriddhi Shakya
Shashindra Pradhan
Tristan Cook
2
+ Recurrent Quantum Neural Networks 2020 Johannes Bausch
2
+ PDF Chat Hierarchical quantum classifiers 2018 Edward Grant
Marcello Benedetti
Shuxiang Cao
Andrew Hallam
Joshua Lockhart
Vid Stojevic
A. G. Green
Simone Severini
2
+ PDF Chat Making trotters sprint: A variational imaginary time ansatz for quantum many-body systems 2019 Matthew J. S. Beach
Roger G. Melko
Tarun Grover
Timothy H. Hsieh
2
+ Quantum machine learning and quantum biomimetics: A perspective 2020 Lucas Lamata
2
+ PDF Chat Quantum Entanglement Growth under Random Unitary Dynamics 2017 Adam Nahum
Jonathan Ruhman
Sagar Vijay
Jeongwan Haah
2
+ PDF Chat A Tutorial on Quantum Convolutional Neural Networks (QCNN) 2020 Seunghyeok Oh
Jaeho Choi
Joongheon Kim
2
+ PDF Chat Unitary quantum perceptron as efficient universal approximator 2019 E. Torrontegui
Juan José García‐Ripoll
2
+ PDF Chat Quantum data processing and error correction 1996 Benjamin Schumacher
Michael A. Nielsen
2
+ PDF Chat Improved simulation of stabilizer circuits 2004 Scott Aaronson
Daniel Gottesman
2
+ PDF Chat Chaos in quantum channels 2016 Pavan Hosur
Xiao-Liang Qi
Daniel A. Roberts
Beni Yoshida
2
+ A generative modeling approach for benchmarking and training shallow quantum circuits 2019 Marcello Benedetti
Delfina Garcia-Pintos
Óscar Perdomo
Vicente Leyton‐Ortega
Yunseong Nam
Alejandro Perdomo‐Ortiz
2
+ PDF Chat Quantum Computing in the NISQ era and beyond 2018 John Preskill
2
+ Classification with Quantum Neural Networks on Near Term Processors 2018 Edward Farhi
Hartmut Neven
2
+ PDF Chat Quantum machine learning 2017 Jacob Biamonte
Péter Wittek
Nicola Pancotti
Patrick Rebentrost
Nathan Wiebe
Seth Lloyd
2
+ PDF Chat Operator Spreading and the Emergence of Dissipative Hydrodynamics under Unitary Evolution with Conservation Laws 2018 Vedika Khemani
Ashvin Vishwanath
David A. Huse
2
+ Quantum circuit learning 2018 Kosuke Mitarai
Makoto Negoro
Masahiro Kitagawa
Keisuke Fujii
2
+ PDF Chat A bound on chaos 2016 Juan Maldacena
Stephen H. Shenker
Douglas Stanford
2
+ PDF Chat Quantum channels and their entropic characteristics 2012 A. S. Holevo
Vittorio Giovannetti
2
+ A Universal Training Algorithm for Quantum Deep Learning 2018 Guillaume Verdon
Jason Pye
Michael Broughton
2
+ PDF Chat Towards quantum machine learning with tensor networks 2018 William J. Huggins
Piyush Patil
Bradley Mitchell
K. Birgitta Whaley
E. Miles Stoudenmire
2
+ PDF Chat Quantum many-body systems out of equilibrium 2015 Jens Eisert
M. Friesdorf
Christian Gogolin
1
+ PDF Chat Atomic Three-Body Loss as a Dynamical Three-Body Interaction 2009 Andrew J. Daley
Jacob M. Taylor
Sebastian Diehl
М. А. Баранов
P. Zoller
1
+ PDF Chat Classical data compression with quantum side information 2003 Igor Devetak
Andreas Winter
1
+ PDF Chat Quantum Hamiltonian Identification from Measurement Time Traces 2014 Jun Zhang
Mohan Sarovar
1
+ PDF Chat Thermodynamics of Quantum Jump Trajectories 2010 Juan P. Garrahan
Igor Lesanovsky
1
+ PDF Chat Average entropy of a subsystem 1993 Don N. Page
1
+ PDF Chat Quantum trajectories and open many-body quantum systems 2014 Andrew J. Daley
1
+ PDF Chat Solution to the galactic foreground problem for LISA 2007 Jeff Crowder
N. Cornish
1
+ PDF Chat Hamiltonian Tomography in an Access-Limited Setting without State Initialization 2009 Carlo D. Franco
Mauro Paternostro
M. S. Kim
1
+ PDF Chat Spinor Bose–Einstein condensates 2012 Yuki Kawaguchi
Masahito Ueda
1