Demonstration of Robust and Efficient Quantum Property Learning with Shallow Shadows

C. Roberts, A. Milsted, M. Ganahl, A. Zalcman, B. Fontaine, Y. Zou, J. Hidary, G. Vidal, and S. Leichenauer, Tensornetwork: A library for physics and machine learning (2019), arXiv:1905.01330 [physics.comp-ph]

Original

1905

Earlier work this paper cites.

D. Phan, N. Pradhan, and M. Jankowiak, Composable effects for flexible and accelerated probabilistic programming in numpyro (2019), arXiv:1912.11554 [stat.ML]

Original

1912

Earlier work this paper cites.

C. H. Bennett, D. P. DiVincenzo, J. A. Smolin, and W. K. Wootters, Physical Review A 54

1996

Earlier work this paper cites.

S. Aaronson and D. Gottesman, Physical Review A 70

2004

Earlier work this paper cites.

G. Vidal, Phys. Rev. Lett. 93

2004

Earlier work this paper cites.

S. R. White and A. E. Feiguin, Phys. Rev. Lett. 93

2004

Earlier work this paper cites.

J. Emerson, M. Silva, O. Moussa, C. Ryan, M. Laforest, J. Baugh, D. G. Cory, and R. Laflamme, Science 317

2007

Earlier work this paper cites.

R. Jozsa and A. Miyake, Proceedings of the Royal Society A: Mathematical, Physical and Engineering Sciences 464

2008

Earlier work this paper cites.

E. Knill, D. Leibfried, R. Reichle, J. Britton, R. B. Blakestad, J. D. Jost, C. Langer, R. Ozeri, S. Seidelin, and D. J. Wineland, Physical Review A 77

2008

Earlier work this paper cites.

E. Magesan, J. M. Gambetta, and J. Emerson, Physical Review Letters 106

2011

Earlier work this paper cites.

S. T. Flammia, D. Gross, Y.-K. Liu, and J. Eisert, New Journal of Physics 14

2012

Earlier work this paper cites.

J. M. Gambetta, A. D. Córcoles, S. T. Merkel, B. R. Johnson, J. A. Smolin, J. M. Chow, C. A. Ryan, C. Rigetti, S. Poletto, T. A. Ohki, M. B. Ketchen, and M. Steffen, Phys. Rev. Lett. 109

2012

Earlier work this paper cites.

R. O’Donnell and J. Wright, Efficient quantum tomography (2015), arXiv:1508.01907 [quant-ph]

Original

2015

Earlier work this paper cites.

D. J. Brod, Phys. Rev. A 93

2016

Earlier work this paper cites.

J. J. Wallman and J. Emerson, Phys. Rev. A 94

2016

Earlier work this paper cites.

J. Haah, A. W. Harrow, Z. Ji, X. Wu, and N. Yu, IEEE Transactions on Information Theory 10.1109/tit.2017.2719044 (2017)

2017

Earlier work this paper cites.

A. Elben, B. Vermersch, M. Dalmonte, J. I. Cirac, and P. Zoller, Phys. Rev. Lett. 120

2018

Earlier work this paper cites.

M. Betancourt, A conceptual introduction to hamiltonian monte carlo (2018), arXiv:1701.02434 [stat.ME]

Original

2018

Earlier work this paper cites.

T. Brydges, A. Elben, P. Jurcevic, B. Vermersch, C. Maier, B. P. Lanyon, P. Zoller, R. Blatt, and C. F. Roos, Science 364

2019

Earlier work this paper cites.

H.-Y. Huang, R. Kueng, and J. Preskill, Nature Physics 16

2020

Earlier work this paper cites.

Z. Li, L. Zou, and T. H. Hsieh, Phys. Rev. Lett. 124

2020

Earlier work this paper cites.

S. Chen, W. Yu, P. Zeng, and S. T. Flammia, PRX Quantum 2

2021

Earlier work this paper cites.

H.-Y. Huang, R. Kueng, and J. Preskill, Phys. Rev. Lett. 127

2021

Earlier work this paper cites.

A. Zhao, N. C. Rubin, and A. Miyake, Phys. Rev. Lett. 127

2021

Earlier work this paper cites.

A. Acharya, S. Saha, and A. M. Sengupta, Informationally complete povm-based shadow tomography (2021), arXiv:2105.05992 [quant-ph]

Original

2021

Earlier work this paper cites.

R. J. Garcia, Y. Zhou, and A. Jaffe, Phys. Rev. Res. 3

2021

Earlier work this paper cites.

J. M. Lukens, K. J. H. Law, and R. S. Bennink, npj Quantum Information 7

2021

Earlier work this paper cites.

J. Carrasco, A. Elben, C. Kokail, B. Kraus, and P. Zoller, PRX Quantum 2

2021

Earlier work this paper cites.

G. Struchalin, Y. A. Zagorovskii, E. Kovlakov, S. Straupe, and S. Kulik, PRX Quantum 2

2021

Earlier work this paper cites.

T. Zhang, J. Sun, X.-X. Fang, X.-M. Zhang, X. Yuan, and H. Lu, Phys. Rev. Lett. 127

2021

Earlier work this paper cites.

A. Wack, H. Paik, A. Javadi-Abhari, P. Jurcevic, I. Faro, J. M. Gambetta, and B. R. Johnson, Quality, speed, and scale: three key attributes to measure the performance of near-term quantum computers (2021), arXiv:2110.14108 [quant-ph]

Original

2021

Earlier work this paper cites.

D. Enshan Koh and S. Grewal, Quantum 6

2022

Cited alongside, same era.

H.-Y. Hu and Y.-Z. You, Physical Review Research 4

2022

Cited alongside, same era.

H. C. Nguyen, J. L. Bönsel, J. Steinberg, and O. Gühne, Phys. Rev. Lett. 129

2022

Cited alongside, same era.

K. V. Kirk, J. Cotler, H.-Y. Huang, and M. D. Lukin, Hardware-efficient learning of quantum many-body states (2022), arXiv:2212.06084 [quant-ph]

Original

2022

Cited alongside, same era.

M. Arienzo, M. Heinrich, I. Roth, and M. Kliesch, arXiv e-prints , arXiv:2211.09835 (2022) , arXiv:2211.09835 [quant-ph]

Original

2022

Cited alongside, same era.

J. Morris, V. Saggio, A. Gočanin, and B. Dakić, Advanced Quantum Technologies 5

A. Dutt, W. Kirby, R. Raymond, C. Hadfield, S. Sheldon, I. L. Chuang, and A. Mezzacapo, Practical benchmarking of randomized measurement methods for quantum chemistry hamiltonians (2023), arXiv:2312.07497 [quant-ph]

Original

2023

Later among the works it cites.

A. Seif, Z.-P. Cian, S. Zhou, S. Chen, and L. Jiang, PRX Quantum 4

2023

Later among the works it cites.

H. Jnane, J. Steinberg, Z. Cai, H. C. Nguyen, and B. Koczor, Quantum error mitigated classical shadows (2023), arXiv:2305.04956 [quant-ph]

Original

2023

Later among the works it cites.

S. Jerbi, C. Gyurik, S. C. Marshall, R. Molteni, and V. Dunjko, Shadows of quantum machine learning (2023), arXiv:2306.00061 [quant-ph]

Original

2023

Later among the works it cites.

Z. Zhang and Y.-Z. You, Observing schrödinger’s cat with artificial intelligence: Emergent classicality from information bottleneck (2023), arXiv:2306.14838 [quant-ph]