Fetching the paper…
Reading the bibliography…
Certifying that an n-qubit state synthesized in the lab is close to the target state is a fundamental task in quantum information science.
Improved bounds for mixing rates of markov chains and multicommodity flow
Alistair Sinclair · 1992
Earlier work this paper cites.
Markov chains on hypercubes: Spectral representations and several majorization relations
Samuel Karlin, Bo Lindqvist, and Yi-Ching Yao · 1993
Earlier work this paper cites.
Quasiadiabatic continuation of quantum states: The stability of topological ground-state degeneracy and emergent gauge invariance
M. B. Hastings and Xiao-Gang Wen · 2005
Earlier work this paper cites.
Classical simulation of quantum many-body systems with a tree tensor network
Y.-Y. Shi, L.-M. Duan, and G. Vidal · 2006
Earlier work this paper cites.
Matrix product states represent ground states faithfully
F. Verstraete and J. I. Cirac · 2006
Earlier work this paper cites.
A coincidence-based test for uniformity given very sparsely sampled discrete data
Liam Paninski · 2008
Earlier work this paper cites.
Classical simulation of commuting quantum computations implies collapse of the polynomial hierarchy
Michael J Bremner, Richard Jozsa, and Dan J Shepherd · 2011
Earlier work this paper cites.
Practical characterization of quantum devices without tomography
Marcus P. da Silva, Olivier Landon-Cardinal, and David Poulin · 2011
Earlier work this paper cites.
Direct fidelity estimation from few pauli measurements
Steven T. Flammia and Yi-Kai Liu · 2011
Earlier work this paper cites.
Automorphic equivalence within gapped phases of quantum lattice systems
Sven Bachmann, Spyridon Michalakis, Bruno Nachtergaele, and Robert Sims · 2012
Earlier work this paper cites.
A survey of quantum property testing
Ashley Montanaro and Ronald de Wolf · 2013
Earlier work this paper cites.
Reliable quantum certification of photonic state preparations
Leandro Aolita, Christian Gogolin, Martin Kliesch, and Jens Eisert · 2015
Earlier work this paper cites.
Modern discrete probability: An essential toolkit
Sebastien Roch · 2015
Earlier work this paper cites.
Local random quantum circuits are approximate polynomial-designs
Fernando G. S. L. Brandão, Aram W. Harrow, and Michal Horodecki · 2016
Earlier work this paper cites.
Deep Learning
Ian J. Goodfellow, Yoshua Bengio, and Aaron Courville · 2016
Earlier work this paper cites.
Efficient quantum tomography
Ryan O’Donnell and John Wright · 2016
Earlier work this paper cites.
Spectrally-normalized margin bounds for neural networks
Peter L Bartlett, Dylan J Foster, and Matus J Telgarsky · 2017
Earlier work this paper cites.
Solving the quantum many-body problem with artificial neural networks
Giuseppe Carleo and Matthias Troyer · 2017
Earlier work this paper cites.
Sample-optimal tomography of quantum states
Jeongwan Haah, Aram W Harrow, Zhengfeng Ji, Xiaodi Wu, and Nengkun Yu · 2017
Earlier work this paper cites.
Uniform multicommodity flows in the hypercube with random edge-capacities
Colin McDiarmid, Alex Scott, and Paul Withers · 2017
Earlier work this paper cites.
Efficient quantum tomography ii
Ryan O’Donnell and John Wright · 2017
Earlier work this paper cites.
Characterizing quantum supremacy in near-term devices
Sergio Boixo, Sergei V Isakov, Vadim N Smelyanskiy, Ryan Babbush, Nan Ding, Zhang Jiang, Michael J Bremner, John M Martinis, and Hartmut Neven · 2018
Cited alongside, same era.
Fidelity witnesses for fermionic quantum simulations
M Gluza, Martin Kliesch, Jens Eisert, and Leandro Aolita · 2018
Cited alongside, same era.
Pseudorandom quantum states
Zhengfeng Ji, Yi-Kai Liu, and Fang Song · 2018
Cited alongside, same era.
Barren plateaus in quantum neural network training landscapes
Jarrod R McClean, Sergio Boixo, Vadim N Smelyanskiy, Ryan Babbush, and Hartmut Neven · 2018
Cited alongside, same era.
Verification of many-qubit states
Yuki Takeuchi and Tomoyuki Morimae · 2018
Cited alongside, same era.
Neural-network quantum state tomography
Giacomo Torlai, Guglielmo Mazzola, Juan Carrasquilla, Matthias Troyer, Roger Melko, and Giuseppe Carleo · 2018
Cited alongside, same era.
Optimal algorithms for learning quantum phase states
Srinivasan Arunachalam, Sergey Bravyi, Arkopal Dutt, and Theodore J Yoder · 2022
Later among the works it cites.
How to simulate quantum measurement without computing marginals
Sergey Bravyi, David Gosset, and Yinchen Liu · 2022
Later among the works it cites.
Exponential separations between learning with and without quantum memory
Sitan Chen, Jordan Cotler, Hsin-Yuan Huang, and Jerry Li · 2022
Later among the works it cites.
Tight bounds for quantum state certification with incoherent measurements
Sitan Chen, Brice Huang, Jerry Li, and Allen Liu · 2022
Later among the works it cites.
Toward instance-optimal state certification with incoherent measurements
Sitan Chen, Jerry Li, and Ryan O’Donnell · 2022
Later among the works it cites.
alphaXiv searches the wider corpus for related work and actual follow-ups.
alphaXiv is searching for related work…
Quantum supremacy using a programmable superconducting processor
Frank Arute, Kunal Arya, Ryan Babbush, Dave Bacon, Joseph C Bardin, Rami Barends, Rupak Biswas, Sergio Boixo, Fernando GSL Brandao, David A Buell, et al · 2019
Cited alongside, same era.
Quantum state certification
Costin Buadescu, Ryan O’Donnell, and John Wright · 2019
Cited alongside, same era.
(pseudo) random quantum states with binary phase
Zvika Brakerski and Omri Shmueli · 2019
Cited alongside, same era.
Two-dimensional frustrated J 1 − J 2 {J}_{1}\text{$-$}{J}_{2} model studied with neural network quantum states
Kenny Choo, Titus Neupert, and Giuseppe Carleo · 2019
Cited alongside, same era.
Reconstructing quantum states with generative models
Juan Carrasquilla, Giacomo Torlai, Roger G Melko, and Leandro Aolita · 2019
Cited alongside, same era.
Restricted boltzmann machines in quantum physics
Roger G Melko, Giuseppe Carleo, Juan Carrasquilla, and J Ignacio Cirac · 2019
Cited alongside, same era.
Sitan Chen, Jerry Li, and Ryan O’Donnell · 2022
Later among the works it cites.
Random quantum circuits are approximate unitary t t -designs in depth O ( n t 5 + o ( 1 ) ) O\left(nt^{5+o(1)}\right)
Jonas Haferkamp · 2022
Later among the works it cites.
Benchmarking quantum simulators using quantum chaos
Daniel K Mark, Joonhee Choi, Adam L Shaw, Manuel Endres, and Soonwon Choi · 2022
Later among the works it cites.
Neural tensor contractions and the expressive power of deep neural quantum states
Or Sharir, Amnon Shashua, and Giuseppe Carleo · 2022
Later among the works it cites.
Out-of-distribution generalization for learning quantum dynamics
Matthias C Caro, Hsin-Yuan Huang, Nicholas Ezzell, Joe Gibbs, Andrew T Sornborger, Lukasz Cincio, Patrick J Coles, and Zoë Holmes · 2023
Later among the works it cites.
Emergent quantum state designs from individual many-body wave functions
Jordan S Cotler, Daniel K Mark, Hsin-Yuan Huang, Felipe Hernandez, Joonhee Choi, Adam L Shaw, Manuel Endres, and Soonwon Choi · 2023
Later among the works it cites.
Preparing random states and benchmarking with many-body quantum chaos
Joonhee Choi, Adam L Shaw, Ivaylo S Madjarov, Xin Xie, Ran Finkelstein, Jacob P Covey, Jordan S Cotler, Daniel K Mark, Hsin-Yuan Huang, Anant Kale, et al · 2023
Later among the works it cites.
Neural network enhanced measurement efficiency for molecular groundstates
Dmitri Iouchtchenko, Jérôme F Gonthier, Alejandro Perdomo-Ortiz, and Roger G Melko · 2023
Later among the works it cites.
The power and limitations of learning quantum dynamics incoherently
Sofiene Jerbi, Joe Gibbs, Manuel S Rudolph, Matthias C Caro, Patrick J Coles, Hsin-Yuan Huang, and Zoë Holmes · 2023
Later among the works it cites.
Asymptotically optimal circuit depth for quantum state preparation and general unitary synthesis
Xiaoming Sun, Guojing Tian, Shuai Yang, Pei Yuan, and Shengyu Zhang · 2023
Later among the works it cites.
From tensor-network quantum states to tensorial recurrent neural networks
Dian Wu, Riccardo Rossi, Filippo Vicentini, and Giuseppe Carleo · 2023
Later among the works it cites.
Empirical sample complexity of neural network mixed state reconstruction
Haimeng Zhao, Giuseppe Carleo, and Filippo Vicentini · 2023
Later among the works it cites.
Quantum pseudoentanglement
Scott Aaronson, Adam Bouland, Bill Fefferman, Soumik Ghosh, Umesh Vazirani, Chenyi Zhang, and Zixin Zhou · 2024
Closest in time.
Random quantum circuits transform local noise into global white noise
Alexander M Dalzell, Nicholas Hunter-Jones, and Fernando GSL Brandão · 2024
Closest in time.
Learning shallow quantum circuits
Hsin-Yuan Huang, Yunchao Liu, Michael Broughton, Isaac Kim, Anurag Anshu, Zeph Landau, and Jarrod R McClean · 2024
Closest in time.