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In order to substantiate claims of quantum computational advantage, it is crucial to develop efficient methods for validating the experimental data.
A quantum-mechanical central limit theorem
Clive D Cushen and Robin L Hudson · 1971
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Permanents , volume 6
Henryk Minc · 1984
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Matrix theory and applications , volume 40
Johnson, Charles R · 1990
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A deterministic algorithm for approximating the mixed discriminant and mixed volume, and a combinatorial corollary
Leonid Gurvits and Alex Samorodnitsky · 2002
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Zero-transmission law for multiport beam splitters
Malte Christopher Tichy, Markus Tiersch, Fernando de Melo, Florian Mintert, and Andreas Buchleitner · 2010
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The computational complexity of linear optics
Scott Aaronson and Alex Arkhipov · 2011
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Error tolerance of the boson-sampling model for linear optics quantum computing
Peter P Rohde and Timothy C Ralph · 2012
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Marginal probabilities in boson samplers with arbitrary input states
Jelmer J Renema · 2012
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Analysis of circuit imperfections in bosonsampling
Anthony Leverrier and Raúl García-Patrón · 2013
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Boson sampling from a Gaussian state
Lund, Austin P and Laing, Anthony and Rahimi-Keshari, Saleh and Rudolph, Terry and O’Brien, Jeremy L and Ralph, Timothy C · 2014
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Gaussian noise sensitivity and bosonsampling
Gil Kalai and Guy Kindler · 2014
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Sufficient condition for the mode mismatch of single photons for scalability of the boson-sampling computer
VS Shchesnovich · 2014
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Stringent and efficient assessment of boson-sampling devices
Malte C Tichy, Klaus Mayer, Andreas Buchleitner, and Klaus Mølmer · 2014
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Computing the distribution of linear statistics of Boson Sampling
Arkhipov, Alex · 2014
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Interference of identical particles from entanglement to boson-sampling
Malte C Tichy · 2014
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Bosonsampling is robust against small errors in the network matrix
Alex Arkhipov · 2015
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Bayesian approach to boson sampling validation
Bentivegna, Marco and Spagnolo, Nicolo and Vitelli, Chiara and Brod, Daniel J and Crespi, Andrea and Flamini, Fulvio and Ramponi, Roberta and Mataloni, Paolo and Osellame, Roberto and Galvao, Ernesto F and others · 2015
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Universal linear optics
Jacques Carolan, Christopher Harrold, Chris Sparrow, Enrique Martín-López, Nicholas J Russell, Joshua W Silverstone, Peter J Shadbolt, Nobuyuki Matsuda, Manabu Oguma, Mikitaka Itoh, et al · 2015
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Suppression laws for multiparticle interference in sylvester interferometers
Andrea Crespi · 2015
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Sampling of partially distinguishable bosons and the relation to the multidimensional permanent
Malte C Tichy · 2015
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Partial indistinguishability theory for multiphoton experiments in multiport devices
VS Shchesnovich · 2015
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Sufficient conditions for efficient classical simulation of quantum optics
Saleh Rahimi-Keshari, Timothy C Ralph, and Carlton M Caves · 2016
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Bosonsampling with lost photons
Scott Aaronson and Daniel J Brod · 2016
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Towards quantum supremacy with lossy scattershot boson sampling
Ludovico Latmiral, Nicolò Spagnolo, and Fabio Sciarrino · 2016
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Certification of boson sampling devices with coarse-grained measurements
Wang, Sheng-Tao and Duan, Lu-Ming · 2016
Cited alongside, same era.
Statistical benchmark for bosonsampling
Mattia Walschaers, Jack Kuipers, Juan-Diego Urbina, Klaus Mayer, Malte Christopher Tichy, Klaus Richter, and Andreas Buchleitner · 2016
Cited alongside, same era.
Universality of generalized bunching and efficient assessment of boson sampling
VS Shchesnovich · 2016
Cited alongside, same era.
Decision and function problems based on boson sampling
Georgios M Nikolopoulos and Thomas Brougham · 2016
Cited alongside, same era.
Gaussian boson sampling
Craig S. Hamilton, Regina Kruse, Linda Sansoni, Sonja Barkhofen, Christine Silberhorn, and Igor Jex · 2017
Cited alongside, same era.
Boson sampling with Gaussian measurements
Chakhmakhchyan, Levon and Cerf, Nicolas J · 2017
Quantum computational advantage using photons
Zhong, Han-Sen and Wang, Hui and Deng, Yu-Hao and Chen, Ming-Cheng and Peng, Li-Chao and Luo, Yi-Han and Qin, Jian and Wu, Dian and Ding, Xing and Hu, Yi and others · 2020
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Classical simulation of linear optics subject to nonuniform losses
Daniel Jost Brod and Michał Oszmaniec · 2020
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A Bayesian validation approach to practical boson sampling
Dai, Zhe and Liu, Yong and Xu, Ping and Xu, WeiXia and Yang, XueJun and Wu, JunJie · 2020
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Signatures of many-particle interference
Mattia Walschaers · 2020
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Complexity of full counting statistics of free quantum particles in product states
Dmitri A. Ivanov and Leonid Gurvits · 2020
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Cited alongside, same era.
Continuous-variable sampling from photon-added or photon-subtracted squeezed states
Chabaud, Ulysse and Douce, Tom and Markham, Damian and Van Loock, Peter and Kashefi, Elham and Ferrini, Giulia · 2017
Cited alongside, same era.
Decoherence and interferometric sensitivity of boson sampling in superconducting resonator networks
Samuel Goldstein, Simcha Korenblit, Ydan Bendor, Hao You, Michael R Geller, and Nadav Katz · 2017
Cited alongside, same era.
An automatic inequality prover and instance optimal identity testing
Gregory Valiant and Paul Valiant · 2017
Cited alongside, same era.
Quantum computing in the nisq era and beyond
John Preskill · 2018
Cited alongside, same era.
Classical simulation of photonic linear optics with lost particles
Michał Oszmaniec and Daniel J Brod · 2018
Cited alongside, same era.
Statistical Benchmarks for Quantum Transport in Complex Systems: From Characterisation to Design
Mattia Walschaers · 2018
Cited alongside, same era.
John Preskill · 2021
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Efficient verification of boson sampling
Ulysse Chabaud, Frédéric Grosshans, Elham Kashefi, and Damian Markham · 2021
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Efficient approximation of experimental gaussian boson sampling
Benjamin Villalonga, Murphy Yuezhen Niu, Li Li, Hartmut Neven, John C Platt, Vadim N Smelyanskiy, and Sergio Boixo · 2021
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Distinguishing noisy boson sampling from classical simulations
Valery Shchesnovich · 2021
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Convergence rates for the quantum central limit theorem
Becker, Simon and Datta, Nilanjana and Lami, Ludovico and Rouze, Cambyse · 2021
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Simulating complex networks in phase space: Gaussian boson sampling
Drummond, Peter D and Opanchuk, Bogdan and Dellios, Alexander and Reid, Margaret D · 2021
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Phase-programmable gaussian boson sampling using stimulated squeezed light
Han-Sen Zhong, Yu-Hao Deng, Jian Qin, Hui Wang, Ming-Cheng Chen, Li-Chao Peng, Yi-Han Luo, Dian Wu, Si-Qiu Gong, Hao Su, et al · 2022
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Quantum computational advantage with a programmable photonic processor
Lars S Madsen, Fabian Laudenbach, Mohsen Falamarzi Askarani, Fabien Rortais, Trevor Vincent, Jacob FF Bulmer, Filippo M Miatto, Leonhard Neuhaus, Lukas G Helt, Matthew J Collins, et al · 2022
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Boson sampling with ultracold atoms
Carsten Robens, Iñigo Arrazola, Wolfgang Alt, Dieter Meschede, Lucas Lamata, Enrique Solano, and Andrea Alberti · 2022
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Assessing the quality of near-term photonic quantum devices
Mezher, Rawad and Mansfield, Shane · 2022
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Boson sampling cannot be faithfully simulated by only the lower-order multi-boson interferences
Valery Shchesnovich · 2022
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Validation tests for GBS quantum computers using grouped count probabilities
Dellios, Alexander S and Reid, Margaret D and Opanchuk, Bogdan and Drummond, Peter D · 2022
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Boson bunching is not maximized by indistinguishable particles
Benoit Seron, Leonardo Novo, and Nicolas J Cerf · 2023
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Quantum-inspired classical algorithms for molecular vibronic spectra
Changhun Oh, Youngrong Lim, Yat Wong, Bill Fefferman, and Liang Jiang · 2024
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Bosonsampling. jl: A julia package for quantum multi-photon interferometry
Benoit Seron and Antoine Restivo · 2024
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Validating multi-photon quantum interference with finite data
Fulvio Flamini, Mattia Walschaers, Nicolò Spagnolo, Nathan Wiebe, Andreas Buchleitner, and Fabio Sciarrino · 2058
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Visual assessment of multi-photon interference
Fulvio Flamini, Nicolò Spagnolo, and Fabio Sciarrino · 2058
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Classically simulating near-term partially-distinguishable and lossy boson sampling
Alexandra E Moylett, Raúl García-Patrón, Jelmer J Renema, and Peter S Turner · 2058
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